Directions For Performing Linear Regression
•Download as DOC, PDF•
0 likes•235 views
The document provides step-by-step instructions for performing linear regression analysis on a dataset containing annual sales figures from 1997-2002. It describes entering the data into lists on a graphing calculator, plotting the data, finding the linear regression equation that best fits the data using the calculator's LinReg function, and interpreting the correlation coefficient.
Report
Share
Report
Share
![Directions for Performing Linear Regression
Before you begin, clear out all old data. Go to Y= and delete any equation you have entered.
1. Create a scatter plot by entering data. Use the data below:
Year 1997 1998 1999 2000 2001 2002
Sales 27.9 28.7 30.2 32.5 33.1 34.3
Press STAT and select Edit. Enter the years since 1997 (0,1,2,3,4,5) into List 1 (L1).
These will be X values.
Enter sales (in billions of dollars) into List 2 (L2). These will be y values.
2. Choose plot settings. Press 2nd Y= and select Plot 1. Turn Plot 1 On. Select Scatter Plot
for the type of display. Enter L1 for the X List and L2 for the Y List.
3. Make a scatter plot. Press ZOOM 9 to display the scatter plot so that the points for all
data pairs are visible.
4. Describe the correlation. Is it positive or negative?
5. Find the equation for the best fitting line.
6. First perform regression. Press STAT. From the CALC menu, choose LinReg (ax + b) [it’s
number 4]. The a and b values are from the equation y = ax + b. The calculator will find
the slope and intercept for the best fitting line based on the data you entered. It will
also calculate the r value.
7. R value: is the correlation coefficient. It measures how well the best fitting line fits the
data. For an r close to 1, there is strong positive correlation. For an r close to -1, there
is strong negative correlation. For r close to zero, the data has relatively no correlation.
In this example, the r is .98817, which is close to 1. There is strong positive correlation.
8. Draw the best fitting line. Press Y= and enter the equation for the line. In this case,
1.36 X + 27.7 for Y1. Press GRAPH.
9. If you press TRACE and the up arrow, you can trace the line you’ve created and see the
X and Y values for each point on the line.](https://image.slidesharecdn.com/directionsforperforminglinearregression-091118121647-phpapp01/85/Directions-For-Performing-Linear-Regression-1-320.jpg)
Recommended
Determining a Line of Best Fit Using a Graphing Calculator
1. The document provides steps to determine an equation of a line of best fit using a graphing calculator and define the squared deviation for the determined equation.
2. The steps include plotting data points, using the LinReg function to determine the equation, and calculating the squared deviations between the original data and data from the line of best fit equation.
3. Squaring the deviations is done because it allows the average deviation to be calculated as a measure of how far the data points stray from the line of best fit.
Moduel 5 topic 3
This document provides examples and instructions for performing linear regression. It explains positive and negative correlation and using a graphing calculator to find the equation of a line of best fit for sample household income and vehicle mileage data. The line of best fit equation is calculated as y = 0.24x + 14.17. Using this equation, the predicted vehicle mileage for a household income of $30,000 is calculated as 21.4 miles.
Linear Regression
A linear regression was performed to find the best fit line for race distances and times of a dog named Midnight. The linear regression allows one to predict future race times based on distances. The document outlines the steps to perform a linear regression using a graphing calculator: 1) Enter the x and y variable data into lists L1 and L2, 2) generate a scatter plot of the data, 3) use the calculator's LinReg function to calculate the best fit line equation, and 4) graph the best fit line to visualize the linear relationship between distances and times.
8823083
The document provides instructions for creating a histogram on a TI graphing calculator in 8 steps: 1) Press STAT and ENTER to enter data in L1, pressing ENTER after each entry; 2) Press 2nd and QUIT to change modes; 3) Press 2nd STAT PLOT to select Histogram plot type and ensure Xlist matches entered data; 4) Press GRAPH to view histogram and ZOOM 9 for better view; 5) Press TRACE to see class ranges and frequencies; 6) Press WINDOW to change class width if desired.
2.6b scatter plots and lines of best fit
This document provides instructions for using a graphing calculator to perform linear regression on a dataset and find the line of best fit. It describes entering paired x and y data values into separate lists, using the LinReg(ax+b) function to determine the regression equation, optionally creating a scatter plot of the original data and regression line, and using the line equation to forecast values. As an example, it analyzes a dataset of alternative-fueled vehicles in the US from 1997 to predict the number in 2014.
Graphing Calculator
This PowerPoint goes over the basic functions of the TI-83 Plus calculators. (Original creator: Unknown?)
Business statistics nmims latest solved assignments
Dear students, get latest Solved assignments and case study help by professionals.
Mail us at : help.mbaassignments@gmail.com
Call us at : 08263069601
Graphing with calculator
To graph with a calculator:
1. Enter the x and y data into the appropriate list columns. Check for errors.
2. Turn on a plot by pressing 2nd and y= and selecting a plot number.
3. Set the window bounds by pressing WINDOW and adjusting the x-min, x-max, x-scl, y-min, y-max, y-scl values.
4. Press graph and find the vertex and a point on the parabola to solve for the equation y=a(x-h)^2+k.
Recommended
Determining a Line of Best Fit Using a Graphing Calculator
1. The document provides steps to determine an equation of a line of best fit using a graphing calculator and define the squared deviation for the determined equation.
2. The steps include plotting data points, using the LinReg function to determine the equation, and calculating the squared deviations between the original data and data from the line of best fit equation.
3. Squaring the deviations is done because it allows the average deviation to be calculated as a measure of how far the data points stray from the line of best fit.
Moduel 5 topic 3
This document provides examples and instructions for performing linear regression. It explains positive and negative correlation and using a graphing calculator to find the equation of a line of best fit for sample household income and vehicle mileage data. The line of best fit equation is calculated as y = 0.24x + 14.17. Using this equation, the predicted vehicle mileage for a household income of $30,000 is calculated as 21.4 miles.
Linear Regression
A linear regression was performed to find the best fit line for race distances and times of a dog named Midnight. The linear regression allows one to predict future race times based on distances. The document outlines the steps to perform a linear regression using a graphing calculator: 1) Enter the x and y variable data into lists L1 and L2, 2) generate a scatter plot of the data, 3) use the calculator's LinReg function to calculate the best fit line equation, and 4) graph the best fit line to visualize the linear relationship between distances and times.
8823083
The document provides instructions for creating a histogram on a TI graphing calculator in 8 steps: 1) Press STAT and ENTER to enter data in L1, pressing ENTER after each entry; 2) Press 2nd and QUIT to change modes; 3) Press 2nd STAT PLOT to select Histogram plot type and ensure Xlist matches entered data; 4) Press GRAPH to view histogram and ZOOM 9 for better view; 5) Press TRACE to see class ranges and frequencies; 6) Press WINDOW to change class width if desired.
2.6b scatter plots and lines of best fit
This document provides instructions for using a graphing calculator to perform linear regression on a dataset and find the line of best fit. It describes entering paired x and y data values into separate lists, using the LinReg(ax+b) function to determine the regression equation, optionally creating a scatter plot of the original data and regression line, and using the line equation to forecast values. As an example, it analyzes a dataset of alternative-fueled vehicles in the US from 1997 to predict the number in 2014.
Graphing Calculator
This PowerPoint goes over the basic functions of the TI-83 Plus calculators. (Original creator: Unknown?)
Business statistics nmims latest solved assignments
Dear students, get latest Solved assignments and case study help by professionals.
Mail us at : help.mbaassignments@gmail.com
Call us at : 08263069601
Graphing with calculator
To graph with a calculator:
1. Enter the x and y data into the appropriate list columns. Check for errors.
2. Turn on a plot by pressing 2nd and y= and selecting a plot number.
3. Set the window bounds by pressing WINDOW and adjusting the x-min, x-max, x-scl, y-min, y-max, y-scl values.
4. Press graph and find the vertex and a point on the parabola to solve for the equation y=a(x-h)^2+k.
Antiderivatives And Slope Fields
The document discusses slope fields and how they can be used to graphically represent solutions to differential equations. It provides examples of drawing slope fields by hand and using a graphing calculator. Initial value problems are defined as differential equations where an initial condition is given to determine the constant term. The document also discusses the differences between definite and indefinite integrals, and provides tips for using a graphing calculator to find and graph indefinite integrals.
2nd ia Yuta Y
This document investigates population trends in China from 1950 to 2008 using different mathematical functions. It finds that an exponential function initially fits the data from 1950 to 1995 well but does not capture the leveling off of population growth seen in later data. A logistic function proposed by a researcher fits the full data set best, accurately modeling the population as it increased rapidly then began stabilizing in more recent years. The best fitting model will help understand and predict China's future population challenges.
Nspire--iPadAppTutorial--Parallel and Perpendicular Lines
- This tutorial demonstrates graphing parallel and perpendicular lines using a TI-Nspire app. It creates a graph window and slider, then graphs two lines linked to the slider to show parallel lines. It then edits one line to be the perpendicular slope and graphs both again to show perpendicular lines. The slider can then be manipulated to dynamically change the graphs while maintaining their parallel or perpendicular relationships.
2.1 TI Histograms
This document provides instructions for constructing a frequency distribution and histogram using a graphing calculator. It explains how to clear lists, enter data into lists for midpoints and frequencies, and use the stat plot function to graph a histogram. An example is also provided to demonstrate constructing a histogram for ages of Declaration of Independence signers and weights of NBA players using the steps outlined.
How to combine interpolation and regression graphs in R
This is a general tutorial that shows you how to take Census data, aggregate columns/rows and use interpolation lines and regression curves in your graphs. You can graph individual rows/columns or aggregate rows/columns. There is an example of graphs created here: https://www.linkedin.com/pulse/comparison-annual-income-going-back-from-2017-doug-loqa-doug-loqa/
European employment
This document analyzes employment patterns across European countries in the 1970s using clustering algorithms. K-means clustering groups the countries into 5 initial clusters based on the percentage of their populations employed in different industries. The optimal number of clusters is determined to be 3 using the elbow method and silhouette method. Hierarchical clustering with complete linkage also supports 2-3 clusters, with Turkey and Yugoslavia consistently grouped separately from the other countries.
Graphing with a calculater
To graph data using a calculator, one must first enter the x and y data into separate lists of the same length. Then the plot is turned on to view the data points. Finally, the window settings like x and y ranges and increments are chosen and the graph is traced to view the line of best fit.
How to make your own population pyramid in six simple steps
This document provides step-by-step instructions for creating a population pyramid in Excel from population data. It describes how to prepare the data, insert a clustered bar chart, format the vertical and horizontal axes, and adjust the bar properties to produce an accurate population pyramid visualization.
Ex1 d sketchlinfuncs
This document provides instructions for sketching linear functions from their equations in gradient-intercept form. It gives examples of sketching linear graphs using x- and y-intercepts. It also explains how to enter linear equations into a TI-Nspire CAS calculator to draw their graphs, and how to use the calculator to find the y-intercept.
Summer lecture 2
The document discusses exploratory data analysis techniques, specifically the stem-and-leaf display. It provides an example of a stem-and-leaf display used to summarize cost of parts data from 50 auto tune-ups. The display arranges the data values in rank order with the first digit to the left of a vertical line and the next digit to the right, with single digits assumed to have a value of 1. This technique shows both the order and shape of the distribution of the original quantitative data values.
Graphing
The document provides instructions for graphing data, including using graph paper and proper tools, determining the independent and dependent variables to place on each axis, labeling the axes with units, spreading data out on the page, determining the value of each line, and plotting the data points and connecting them for line graphs.
Creating a chart in Excel
This document discusses various Excel functions including highlighting cells, inserting charts, adding chart titles, and including percentage data on charts. It explains how to highlight cells by dragging the mouse over a selection, how to insert a pie chart by choosing the chart type and design, and why a pie chart was useful for demonstrating ratios from market research. It also covers how to add a chart title from the Layout menu and insert percentage data on a chart using the Design tab to provide more clarity and understanding of the graph.
Excel tutorial for creating trend lines and calculating rates of change
This document provides a 7-step process for finding the equation of a trendline in Excel and using that equation to calculate rates of change from data. The steps include importing data, plotting a line graph, adding a trendline, formatting the trendline, displaying the equation, adjusting axes, and using the trendline equation to calculate rates of change by multiplying the slope by time periods. The trendline equation is in the form of y = mx + c, where m is the slope and c is the y-intercept.
Day 13 misleading graphs
This document contains information about misleading graphs including:
1) An upcoming quiz, midterm, and placement test dates as well as a reminder to bring pencils.
2) Examples of misleading line graphs about temperature and spending that manipulate scales or leave out key information.
3) A student activity to analyze misleading graphs and create their own, trading with a partner to explain why each is misleading.
4) Homework assigned on analyzing scales to identify misleading graphs and indicators that a graph may be misleading.
3 data analysis bar graphs may 27
This document contains a song about measures of central tendency (mean, median, mode) and instructions for accurately and inaccurately representing data using bar graphs. The key points are:
1) The mean is the average, the median is the middle number, and the mode is the most frequent value.
2) To accurately display data on a bar graph, the vertical axis should begin at zero and extend slightly above the maximum data value, and the bars should be the same width.
3) To exaggerate differences, the vertical axis range should tightly fit the data values. To minimize differences, the vertical axis should extend well above the maximum data value.
Scatter Plot
Scatter plots are a quality tool used to show the relationship between two variables. They graph pairs of numerical data with one variable on each axis to look for correlation. If the variables are correlated, the data points will fall along a line or curve, indicating a relationship. Scatter plots are useful for determining potential causes of problems by identifying which process elements are related and how strongly. They involve collecting paired data, plotting the independent variable on the x-axis and dependent variable on the y-axis, and examining the shape and slope of the resulting cluster of points.
choosing the right graph
This document discusses four common types of graphs: bar graphs, line graphs, scatter plots, and pie charts. It provides examples of when each graph type would be best to visualize specific sets of data, such as using a bar graph to show most popular iTunes downloads, a line graph to show changes in X Games scores over time, a pie chart to show percentages of time songs spent in first place on a music chart, and a scatter plot to show the relationship between comic books ordered and time.
Graphing Power Pt
Bar graphs and line graphs are used to visualize data with one continuous variable such as time on the x-axis and another on the y-axis. Circle graphs are used to show categorical data divided into percentages of a whole. Graphs created on computers are neat, accurate, and quick to make compared to hand-drawn graphs. An example lab involves students sorting and counting M&M colors to create a data table and bar graph to analyze the results.
Integer
The document discusses integers and how to represent situations using positive and negative integers. It defines integers as whole numbers and their opposites, with positive integers being whole numbers greater than zero and negative integers being whole numbers less than zero. It provides examples of using integers to represent temperatures, elevations, financial transactions, and distances moved. It also covers finding the opposite of integers, representing integers on a number line, and drawing number lines to represent given integers.
Homenagem%20 professor%20p%c3%a9ricles%20senai
A canção fala sobre a importância da amizade e como os amigos permanecem no coração mesmo com o passar do tempo e a distância física. Amigos são tesouros a serem guardados dentro do coração.
Desde cualquier lugar
El documento presenta un prólogo que introduce una edición que combina poesía y dibujo creada por nuevos escritores y artistas. Resalta que el arte es consustancial al ser humano y puede crearse desde cualquier lugar. Incluye varios poemas y cuentos cortos escritos por personas en situaciones diversas que expresan sentimientos como el amor, la soledad y la búsqueda de la libertad.
More Related Content
What's hot
Antiderivatives And Slope Fields
The document discusses slope fields and how they can be used to graphically represent solutions to differential equations. It provides examples of drawing slope fields by hand and using a graphing calculator. Initial value problems are defined as differential equations where an initial condition is given to determine the constant term. The document also discusses the differences between definite and indefinite integrals, and provides tips for using a graphing calculator to find and graph indefinite integrals.
2nd ia Yuta Y
This document investigates population trends in China from 1950 to 2008 using different mathematical functions. It finds that an exponential function initially fits the data from 1950 to 1995 well but does not capture the leveling off of population growth seen in later data. A logistic function proposed by a researcher fits the full data set best, accurately modeling the population as it increased rapidly then began stabilizing in more recent years. The best fitting model will help understand and predict China's future population challenges.
Nspire--iPadAppTutorial--Parallel and Perpendicular Lines
- This tutorial demonstrates graphing parallel and perpendicular lines using a TI-Nspire app. It creates a graph window and slider, then graphs two lines linked to the slider to show parallel lines. It then edits one line to be the perpendicular slope and graphs both again to show perpendicular lines. The slider can then be manipulated to dynamically change the graphs while maintaining their parallel or perpendicular relationships.
2.1 TI Histograms
This document provides instructions for constructing a frequency distribution and histogram using a graphing calculator. It explains how to clear lists, enter data into lists for midpoints and frequencies, and use the stat plot function to graph a histogram. An example is also provided to demonstrate constructing a histogram for ages of Declaration of Independence signers and weights of NBA players using the steps outlined.
How to combine interpolation and regression graphs in R
This is a general tutorial that shows you how to take Census data, aggregate columns/rows and use interpolation lines and regression curves in your graphs. You can graph individual rows/columns or aggregate rows/columns. There is an example of graphs created here: https://www.linkedin.com/pulse/comparison-annual-income-going-back-from-2017-doug-loqa-doug-loqa/
European employment
This document analyzes employment patterns across European countries in the 1970s using clustering algorithms. K-means clustering groups the countries into 5 initial clusters based on the percentage of their populations employed in different industries. The optimal number of clusters is determined to be 3 using the elbow method and silhouette method. Hierarchical clustering with complete linkage also supports 2-3 clusters, with Turkey and Yugoslavia consistently grouped separately from the other countries.
Graphing with a calculater
To graph data using a calculator, one must first enter the x and y data into separate lists of the same length. Then the plot is turned on to view the data points. Finally, the window settings like x and y ranges and increments are chosen and the graph is traced to view the line of best fit.
How to make your own population pyramid in six simple steps
This document provides step-by-step instructions for creating a population pyramid in Excel from population data. It describes how to prepare the data, insert a clustered bar chart, format the vertical and horizontal axes, and adjust the bar properties to produce an accurate population pyramid visualization.
Ex1 d sketchlinfuncs
This document provides instructions for sketching linear functions from their equations in gradient-intercept form. It gives examples of sketching linear graphs using x- and y-intercepts. It also explains how to enter linear equations into a TI-Nspire CAS calculator to draw their graphs, and how to use the calculator to find the y-intercept.
Summer lecture 2
The document discusses exploratory data analysis techniques, specifically the stem-and-leaf display. It provides an example of a stem-and-leaf display used to summarize cost of parts data from 50 auto tune-ups. The display arranges the data values in rank order with the first digit to the left of a vertical line and the next digit to the right, with single digits assumed to have a value of 1. This technique shows both the order and shape of the distribution of the original quantitative data values.
Graphing
The document provides instructions for graphing data, including using graph paper and proper tools, determining the independent and dependent variables to place on each axis, labeling the axes with units, spreading data out on the page, determining the value of each line, and plotting the data points and connecting them for line graphs.
Creating a chart in Excel
This document discusses various Excel functions including highlighting cells, inserting charts, adding chart titles, and including percentage data on charts. It explains how to highlight cells by dragging the mouse over a selection, how to insert a pie chart by choosing the chart type and design, and why a pie chart was useful for demonstrating ratios from market research. It also covers how to add a chart title from the Layout menu and insert percentage data on a chart using the Design tab to provide more clarity and understanding of the graph.
Excel tutorial for creating trend lines and calculating rates of change
This document provides a 7-step process for finding the equation of a trendline in Excel and using that equation to calculate rates of change from data. The steps include importing data, plotting a line graph, adding a trendline, formatting the trendline, displaying the equation, adjusting axes, and using the trendline equation to calculate rates of change by multiplying the slope by time periods. The trendline equation is in the form of y = mx + c, where m is the slope and c is the y-intercept.
Day 13 misleading graphs
This document contains information about misleading graphs including:
1) An upcoming quiz, midterm, and placement test dates as well as a reminder to bring pencils.
2) Examples of misleading line graphs about temperature and spending that manipulate scales or leave out key information.
3) A student activity to analyze misleading graphs and create their own, trading with a partner to explain why each is misleading.
4) Homework assigned on analyzing scales to identify misleading graphs and indicators that a graph may be misleading.
3 data analysis bar graphs may 27
This document contains a song about measures of central tendency (mean, median, mode) and instructions for accurately and inaccurately representing data using bar graphs. The key points are:
1) The mean is the average, the median is the middle number, and the mode is the most frequent value.
2) To accurately display data on a bar graph, the vertical axis should begin at zero and extend slightly above the maximum data value, and the bars should be the same width.
3) To exaggerate differences, the vertical axis range should tightly fit the data values. To minimize differences, the vertical axis should extend well above the maximum data value.
Scatter Plot
Scatter plots are a quality tool used to show the relationship between two variables. They graph pairs of numerical data with one variable on each axis to look for correlation. If the variables are correlated, the data points will fall along a line or curve, indicating a relationship. Scatter plots are useful for determining potential causes of problems by identifying which process elements are related and how strongly. They involve collecting paired data, plotting the independent variable on the x-axis and dependent variable on the y-axis, and examining the shape and slope of the resulting cluster of points.
choosing the right graph
This document discusses four common types of graphs: bar graphs, line graphs, scatter plots, and pie charts. It provides examples of when each graph type would be best to visualize specific sets of data, such as using a bar graph to show most popular iTunes downloads, a line graph to show changes in X Games scores over time, a pie chart to show percentages of time songs spent in first place on a music chart, and a scatter plot to show the relationship between comic books ordered and time.
Graphing Power Pt
Bar graphs and line graphs are used to visualize data with one continuous variable such as time on the x-axis and another on the y-axis. Circle graphs are used to show categorical data divided into percentages of a whole. Graphs created on computers are neat, accurate, and quick to make compared to hand-drawn graphs. An example lab involves students sorting and counting M&M colors to create a data table and bar graph to analyze the results.
Integer
The document discusses integers and how to represent situations using positive and negative integers. It defines integers as whole numbers and their opposites, with positive integers being whole numbers greater than zero and negative integers being whole numbers less than zero. It provides examples of using integers to represent temperatures, elevations, financial transactions, and distances moved. It also covers finding the opposite of integers, representing integers on a number line, and drawing number lines to represent given integers.
What's hot (19)
Nspire--iPadAppTutorial--Parallel and Perpendicular Lines
Nspire--iPadAppTutorial--Parallel and Perpendicular Lines
How to combine interpolation and regression graphs in R
How to combine interpolation and regression graphs in R
How to make your own population pyramid in six simple steps
How to make your own population pyramid in six simple steps
Excel tutorial for creating trend lines and calculating rates of change
Excel tutorial for creating trend lines and calculating rates of change
Viewers also liked
Homenagem%20 professor%20p%c3%a9ricles%20senai
A canção fala sobre a importância da amizade e como os amigos permanecem no coração mesmo com o passar do tempo e a distância física. Amigos são tesouros a serem guardados dentro do coração.
Desde cualquier lugar
El documento presenta un prólogo que introduce una edición que combina poesía y dibujo creada por nuevos escritores y artistas. Resalta que el arte es consustancial al ser humano y puede crearse desde cualquier lugar. Incluye varios poemas y cuentos cortos escritos por personas en situaciones diversas que expresan sentimientos como el amor, la soledad y la búsqueda de la libertad.
2.1.12 classwork wednesday
The document provides writing prompts for students. It asks students to imagine their family entering a baking contest and to explain what item their family would bake and why it should win. It provides space for students to list family members' names. The prompt is intended to inspire creative writing about families and competition.
10 Cosas sobre mi,
Práctica opcional, de María Molina Puerta ( lo subo yo porque ha tenido un problemilla con su cuenta SlideShare ). Enseguida estará todo en orden! :)
Economia 1
El documento resume conceptos básicos de economía como la definición de economía, las clases de economía, factores productivos, bienes y servicios, agentes económicos, costos y principios como la escasez y el costo de oportunidad. Explica que la economía estudia la administración de recursos para satisfacer necesidades humanas de forma eficiente.
Viewers also liked (7)
Similar to Directions For Performing Linear Regression
Scatter Plots
Scatter plots are used to analyze the relationship between two sets of data by plotting points on a graph without connecting them. Points that form a positive sloping pattern from bottom left to top right indicate a direct relationship, while an inverse pattern shows an indirect relationship, and no pattern means no relationship exists between the variables. The stat key in a graphing calculator can be used to choose the lists of data for the x and y axes and determine the window ranges to plot scatter plot graphs for analysis.
Line of best fit slideshare
This document provides instructions for determining a line of best fit using a graphing calculator. It outlines the 3 steps to plot points: 1) turn on plot 1, 2) enter data under L1 and L2, 3) adjust the window. Students are instructed to enter sample data, select the LinReg function to calculate the line of best fit equation, and round coefficients to three decimal places to write the line of best fit as y=ax+b. An example line of best fit equation y=0.240x-400.989 is given.
Answer to question 7(math wiki)
1) The document describes how to create a scatter plot of year versus number of teams data on a graphing calculator. It involves inputting the data into L1 and L2 and turning on the stat plot.
2) It then explains how to determine the best fit line or curve using regression models. This involves turning on the diagnostics and testing different regression models like linear, quadratic, cubic etc.
3) The quadratic model was found to best fit the data with an equation of N(t) = -0.003t^2 + 0.621t + 11.003, which models the number of teams (N) over time (t) in years using the regression analysis.
Bingo 2
The document provides instructions for graphing a quadratic equation using a calculator. It explains how to enter the price and profit data from a table into lists L1 and L2 in the calculator. It describes using the stat editor to define the function as Y= and select list 1 as the x-values. It recommends adjusting the window settings to have minimum and maximum x and y values that extend slightly beyond the actual data range and setting the increments to common values like 1s or 5s. Finally, it shows how to use the known vertex and another point to find the equation in the form Y=a(x-h)^2+k.
Bingo 2
The document provides instructions for graphing a quadratic equation using a calculator. It explains how to enter price and profit data from a table into the calculator. It describes setting the window settings to match the range of the data and choosing appropriate increments. The instructions say to graph the data and check that the number of points matches the number in the table. Finally, it provides the steps to find the equation from the vertex and a selected point on the graph.
Statistics with Computer Applications
This presentation will help students relevant to descriptive and inferential statistics in their research undertakings
Correlation
Please Subscribe to this Channel for more solutions and lectures
http://www.youtube.com/onlineteaching
Chapter 10: Correlation and Regression
10.1: Correlation
Calculator strategies
This document provides strategies and tips for using a graphing calculator on the TAKS test, including:
- Clearing the calculator memory if something goes wrong
- Using the "y=" feature to match equations and graphs/tables
- Setting the calculator table to "ASK" for specific x-values
- Storing values in variables to match equivalent expressions
- Using the "STO" key to represent variables in expressions
- Clearing lists using "ClrAllLists" or highlighting and clearing
- Using the "Calc" feature to find the intersection point of graphs
- Converting between decimals and fractions
- Ensuring proper use of parentheses with fractions and operations
- Changing table settings for starting
Using the ti 83 84
This document provides instructions and examples for using a TI-83/84 graphing calculator. It covers how to graph equations, systems of equations, and linear inequalities. It also demonstrates how to calculate the correlation coefficient between two data sets using the calculator. Examples are provided to illustrate graphing linear and exponential functions, finding points of intersection for systems of equations, and interpreting correlation values. Key steps are outlined for entering data and functions into the calculator to perform graphing and statistical analysis.
Graphing with a calculator!
1) The document discusses how to graph data points from a nail salon's manicure/pedicure prices (x-values) and weekly profits (y-values) using a graphing calculator.
2) It provides step-by-step instructions for entering the x and y data into separate lists on the calculator, turning on the plot, and adjusting the window settings to properly display the graph.
3) Once graphed, the document finds the vertex and a point to use in solving for the equation of the quadratic regression curve that best fits the data.
Calculator Strategies
This document provides calculator strategies for the TAKS test, including how to clear memory, use the y= feature to match equations to graphs and tables, ask for specific x-values in a table, graph systems of equations, change between decimals and fractions, navigate the home screen, and use parentheses properly. It demonstrates how to use the calculator to solve problems involving areas, points on a coordinate grid, linear systems, and evaluating expressions for a given value. Graphing and table features are used to verify answer choices for several problems.
Graphing with a calculator!
This document provides instructions for graphing data using a calculator. It includes:
1) Entering price (x) and profit (y) data into list 1 and list 2 on the calculator.
2) Turning on the plot to view the data points.
3) Setting the window settings to properly display the graph.
4) Using two data points to find the equation for the curve of best fit, y=25/22(x-14)^2 + 640.
99995320.ppt
The document discusses point plotting techniques in computer graphics. It describes how the Cartesian coordinate system is used to plot points, lines, and figures on a screen with each point addressed by its (x,y) coordinates. It then discusses various point plotting algorithms like the symmetrical DDA algorithm and simple DDA algorithm which incrementally calculate the coordinates of points along a line to plot it on the screen. The mid-point line drawing algorithm is also summarized, which uses the concept of incremental method and integer arithmetic to determine whether to select the next pixel in the East or Northeast direction when drawing a line.
3.10 3.11 Notes A
This document provides homework questions on solving equations and graphing equations. It includes:
1) Solving equations with one variable like 3x + 2 = 5x + 3 and determining the number of solutions.
2) Solving a two variable equation 2x + 3y = 12 and finding points that satisfy the equation.
3) Graphing equations like y = x^2 - 3x + 2 on a graphing calculator and determining features of the graph like where it crosses the x-axis.
4) Applying a transformation like (x,y) -> (x + 5, y) to the points on a graph.
5) Identifying points that do or do not
Graphs in science
This document discusses line graphs and how to construct them. It explains that line graphs are used to show how one variable changes in response to another variable. It provides steps for plotting a line graph, including labeling the axes, scaling the axes, plotting data points, drawing a line of best fit, and adding a title. It also defines key terms like slope, linear and nonlinear graphs, and trends in data.
Graphs in science
This document discusses line graphs and how to construct them. It explains that line graphs are used to show how one variable changes in response to another variable. It provides steps for plotting a line graph, including labeling the axes, scaling the axes appropriately, plotting the data points, drawing a line of best fit, and adding a title. It also defines key terms like slope, linear and nonlinear graphs, and trends in data.
Linear relations
This document discusses linear relations and how to represent relationships between two variables with tables, graphs, and equations. It explains that a linear relation produces a straight line when graphed and can be represented by an equation of the form y = mx + b, where m is the slope and b is the y-intercept. Examples are provided to illustrate how to determine the equation from a table of values and vice versa, as well as how to graph lines from equations or data tables.
3 1 Quadratic Functions
This document discusses quadratic functions and graphs, including:
- Graphing quadratic functions in standard and vertex forms
- Identifying minimums, maximums, and axes of symmetry from graphs
- Finding minimums and maximums without graphing using calculators
- Applications of quadratic functions like quadratic regression and maximizing enclosed areas with fencing
Linear Equations Ppt
The document discusses linear functions and graphs. It explains that linear graphs form straight lines and linear expressions only contain one variable with no exponents. It also defines slope as the rate of incline or decline of a line and discusses how to find the slope and y-intercept of a linear equation in slope-intercept form. Finally, it provides an example of using a linear equation to generate a table of x-y points and graph those points on a line.
Linear Equations Ppt
The document discusses linear functions and graphs. It explains that linear graphs form straight lines and linear expressions only contain one variable with no exponents. It also defines slope as the rate of incline or decline of a line and discusses how to find the slope and y-intercept of a linear equation in slope-intercept form. Finally, it provides an example of using a linear equation to generate a table of x-y points and graph those points on a line.
Similar to Directions For Performing Linear Regression (20)
More from St. Mary Magdalen School
Adding and subtracting matrices
To add or subtract matrices using a calculator, you must first enter the matrices by specifying their size and individual values. Then, to add matrices, press "MATRIX 1 + MATRIX 2 ENTER" and to subtract press "MATRIX 1 - MATRIX 2 ENTER". The resulting matrix values will be displayed. Matrices can only be added or subtracted if they have the same number of corresponding entries.
Adding and subtracting matrices
To add or subtract matrices using a calculator, you must first enter the matrices by specifying their size and individual values. Then, to add matrices, press "MATRIX 1 + MATRIX 2 ENTER" and to subtract press "MATRIX 1 - MATRIX 2 ENTER". The resulting matrix values will be displayed. Matrices can only be added or subtracted if they have the same number of corresponding entries.
Adding and subtracting matrices
To add or subtract matrices using a calculator, you must first enter the matrices by specifying their size and individual values. Then, to add matrices, press "MATRIX 1 + MATRIX 2 ENTER" and to subtract press "MATRIX 1 - MATRIX 2 ENTER". The resulting matrix values will be displayed. Matrices can only be added or subtracted if they have the same number of corresponding entries.
Math requirements2012
This document outlines the math requirements for 8th grade students. It states that homework will be assigned daily and counts as 5% of the trimester grade. Students must keep an organized math notebook with notes, homework, and grades, which counts as another 5% of the trimester grade. Tests are worth 60% and quizzes 30% of the trimester grade. The midterm and final each count as 12.5% of the final year-end grade.
Guidelines for Holocaust Paper
This document provides guidelines for 8th grade students to choose between two alternative assessment options for a long-term writing assignment on themes from Night and The Devil's Arithmetic about the Holocaust. Option 1 involves a comparison paper analyzing a theme across both books with 5 paragraphs, while Option 2 requires a research paper comparing an aspect of the Holocaust across 3 countries in 5 paragraphs. Both options are due April 18 and must be 3 pages, typed in Google Docs and shared with the specified teacher for feedback and submission.
Milk difference
1. The document compares drink orders from 2010 to 2011 and found decreases in total drinks ordered. Skim milk orders decreased the most while chocolate milk increased the most.
2. By switching from 2% milk to skim milk, students could save about 50 calories per order. Switching from chocolate milk to water could save 140 calories per order.
3. Making these changes could result in losing over 300 pounds in a school year if followed by all students 180 days a year.
Acceptable Use Agreement Students 2011
The document outlines the Diocese of Wilmington Catholic Schools' Acceptable Use of Technology Agreement. It summarizes that students are expected to use technology responsibly and only for educational purposes. They should not share private information online or take/share photos or recordings of others without permission. Any use of school technology or networks must follow these policies. Violations may result in lost technology privileges or other disciplinary action.
AUP Student Edition 2011
The document provides policies for students regarding acceptable use of technology for the Diocese of Wilmington. It outlines that the Catholic Schools Office, Catholic Youth Ministry, and Office of Religious Education have partnered to develop comprehensive technology policies for schools. It requires all schools to review the policies with students and staff and document how the policies are disseminated by August 31, 2011. The main section of the document then provides the technology use policy, covering topics such as personal responsibility, privacy, acceptable uses of technology, social media usage, intellectual property, and responding to policy violations.
Library curricula 2011 arranged by grade
The document outlines the library curriculum for kindergarten through 7th grade in the Diocese of Wilmington school system. The curriculum focuses on developing literacy skills like appreciating literature, conducting research, and creating written, visual and oral presentations. Key areas covered include proper library etiquette, exploring different genres of fiction and non-fiction, researching topics, citing sources, and developing lifelong reading habits. The goals are to prepare students for the 21st century by strengthening their ability to locate, evaluate and apply information.
Wikispaces for the classroom 2
Wikispaces allows teachers to create private, classroom wikis for students to collaborate online. Wikis can be used to share resources, have lesson discussions, collaborate on assignments, and disseminate information beyond the classroom. Teachers can control permissions, invite students, manage pages and content, and add features like documents, videos, forms and more. Wikis provide interactive, online spaces for students to engage in classwork outside of class time in a safe, organized environment.
Collaborative documents
The document discusses using Wikis and Google Docs to facilitate collaborative and active learning outside of the classroom. It notes that Wikis allow for the creation of class-specific pages that provide assignments, resources and space for discussion. Google Docs enables students to work together on documents and presentations from any location, extending learning beyond school hours. An example is provided of an assignment where students used these tools to research topics from the 1920s, create notes, then presentations in small groups.
Flipping the classroom
Flipping the classroom means recording lessons for students to watch outside of class, then using class time for working on problems and asking questions. An algebra teacher first started flipping his classroom after attending an education conference and exploring online resources from other educators. Flipping allows students to learn at their own pace by pausing and rewatching lessons, and gives class time for collaboration between students and teachers on problem-solving. However, all students need online access and must watch lessons outside of class.
Dickens and alcott webquest
The document provides a webquest with questions about 19th century authors Charles Dickens and Louisa May Alcott. It asks for biographical details like their birthplaces and childhoods, influences on their writing from their early lives, autobiographical elements in their works, and famous author friends. The final question prompts a comparison of Dickens' and Alcott's works.
Invisible web
The document discusses the difference between the visible and invisible web. It notes that the visible web contains over 30 billion pages that can be searched by common search engines, while the invisible web contains over 200 billion pages that require logins or are only accessible through specialized databases. It then provides recommendations for exploring the invisible web through sites like the Librarian's Index to the Internet and CompletePlanet, as well as through library database resources.
Wikispaces for the classroom
Wikispaces allows educators to create wikis for classroom use. Wikis enable collaboration through editing pages from anywhere, sharing notes, and continuing discussions outside of class. As a wiki organizer, teachers can set permissions, manage members, customize appearances, lock pages, and delete content. Teachers can invite students by email or create accounts for students without email. Various features like pages, links, documents, videos, forms and other widgets can be added to engage students and share content.
Civil warsoldierletter8th
Corporal James Henry Gooding of the 54th Massachusetts Colored Regiment wrote to President Abraham Lincoln to address their grievance of unequal pay. The regiment was offered $10 per month while awaiting a potential congressional approval of $13 per month, the standard pay for soldiers. Gooding argues that the regiment had performed all the duties of soldiers, fought bravely in battles, and sacrificed their lives for the Union. He asks Lincoln to assure them of receiving a soldier's full pay in order to restore their patriotism and enthusiasm in aiding their country.
Banned books2010
The document discusses banned and challenged books. It notes that books are most often challenged for containing difficult topics, language, sexual content, or views seen as unpopular. The document provides statistics on books challenged between 1990-2009, with the majority of challenges coming from parents and occurring in schools. It lists commonly challenged authors and books, such as To Kill a Mockingbird, Catcher in the Rye, and Harry Potter. The passage from The Giver discusses an infant death scene that is a reason the book is often challenged.
Library intro8th
This document provides information and guidelines for 8th grade students regarding the library class. It outlines policies such as checkout limits, computer use guidelines, and consequences for violations. It describes that projects will focus on improving writing and research skills using technology tools. It introduces the class wiki that students must join and will be used for assignments and communication. The first assignments will be a reader's response and an assignment about plagiarism.
Library intro7th
1) The document outlines the policies and procedures for 7th grade students regarding library book checkouts, computer and internet use, and assignments.
2) Students can check out up to 5 books for 2 weeks but must pay for any lost books, and the library checkout number remains the same as the login ID.
3) Computer use is only for educational purposes, students must log off after use, and a flash drive can be used to transport work home.
Library intro8th
This document provides information and guidelines for 8th grade students regarding the library class. It outlines policies such as checkout limits, computer use guidelines, and consequences for violations. It describes that projects will focus on improving writing and research skills using technology tools. It introduces the class wiki that students must join and will be used for assignments and communication. The first assignments will be a reader's response and an assignment about plagiarism.
More from St. Mary Magdalen School (20)
Recently uploaded
Dandelion Hashtable: beyond billion requests per second on a commodity server
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
A Deep Dive into ScyllaDB's Architecture
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.QA or the Highway - Component Testing: Bridging the gap between frontend appl...
These are the slides for the presentation, "Component Testing: Bridging the gap between frontend applications" that was presented at QA or the Highway 2024 in Columbus, OH by Zachary Hamm.
Leveraging the Graph for Clinical Trials and Standards
Katja Glaß
OpenStudyBuilder Community Manager - Katja Glaß Consulting
Marius Conjeaud
Principal Consultant - Neo4j
Main news related to the CCS TSI 2023 (2023/1695)
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
High performance Serverless Java on AWS- GoTo Amsterdam 2024
Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless community. Java is known for its high cold start times and high memory footprint, comparing to other programming languages like Node.js and Python. In this talk I'll look at the general best practices and techniques we can use to decrease memory consumption, cold start times for Java Serverless development on AWS including GraalVM (Native Image) and AWS own offering SnapStart based on Firecracker microVM snapshot and restore and CRaC (Coordinated Restore at Checkpoint) runtime hooks. I'll also provide a lot of benchmarking on Lambda functions trying out various deployment package sizes, Lambda memory settings, Java compilation options and HTTP (a)synchronous clients and measure their impact on cold and warm start times.
Northern Engraving | Nameplate Manufacturing Process - 2024
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
GNSS spoofing via SDR (Criptored Talks 2024)
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
Astute Business Solutions | Oracle Cloud Partner |
Your goto partner for Oracle Cloud, PeopleSoft, E-Business Suite, and Ellucian Banner. We are a firm specialized in managed services and consulting.
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...Pitangent Analytics & Technology Solutions Pvt. Ltd
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.Principle of conventional tomography-Bibash Shahi ppt..pptx
before the computed tomography, it had been widely used.
Recently uploaded (20)
Dandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity server
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
QA or the Highway - Component Testing: Bridging the gap between frontend appl...
QA or the Highway - Component Testing: Bridging the gap between frontend appl...
Leveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and Standards
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
High performance Serverless Java on AWS- GoTo Amsterdam 2024
High performance Serverless Java on AWS- GoTo Amsterdam 2024
Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving | Nameplate Manufacturing Process - 2024
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
Astute Business Solutions | Oracle Cloud Partner |
Astute Business Solutions | Oracle Cloud Partner |
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
Principle of conventional tomography-Bibash Shahi ppt..pptx
Principle of conventional tomography-Bibash Shahi ppt..pptx
Directions For Performing Linear Regression
- 1. Directions for Performing Linear Regression Before you begin, clear out all old data. Go to Y= and delete any equation you have entered. 1. Create a scatter plot by entering data. Use the data below: Year 1997 1998 1999 2000 2001 2002 Sales 27.9 28.7 30.2 32.5 33.1 34.3 Press STAT and select Edit. Enter the years since 1997 (0,1,2,3,4,5) into List 1 (L1). These will be X values. Enter sales (in billions of dollars) into List 2 (L2). These will be y values. 2. Choose plot settings. Press 2nd Y= and select Plot 1. Turn Plot 1 On. Select Scatter Plot for the type of display. Enter L1 for the X List and L2 for the Y List. 3. Make a scatter plot. Press ZOOM 9 to display the scatter plot so that the points for all data pairs are visible. 4. Describe the correlation. Is it positive or negative? 5. Find the equation for the best fitting line. 6. First perform regression. Press STAT. From the CALC menu, choose LinReg (ax + b) [it’s number 4]. The a and b values are from the equation y = ax + b. The calculator will find the slope and intercept for the best fitting line based on the data you entered. It will also calculate the r value. 7. R value: is the correlation coefficient. It measures how well the best fitting line fits the data. For an r close to 1, there is strong positive correlation. For an r close to -1, there is strong negative correlation. For r close to zero, the data has relatively no correlation. In this example, the r is .98817, which is close to 1. There is strong positive correlation. 8. Draw the best fitting line. Press Y= and enter the equation for the line. In this case, 1.36 X + 27.7 for Y1. Press GRAPH. 9. If you press TRACE and the up arrow, you can trace the line you’ve created and see the X and Y values for each point on the line.