Presentation1
•Download as PPTX, PDF•
0 likes•143 views
Correlation is a statistical analysis that measures the strength and direction of association between two or more variables. There are different types of correlation including positive correlation where variables move in the same direction, negative correlation where variables move in opposite directions, linear correlation where variables change at a constant ratio, and non-linear correlation where there is no constant ratio of change. Correlation can also be simple, involving two variables, partial where one variable is held constant, or multiple where the association between one variable and two or more other variables is examined.
Report
Share
Report
Share
Recommended
Correlation and regression
The document discusses correlation and regression analysis. It defines positive and negative correlation, as well as linear and non-linear correlation. It provides examples of variables that are positively and negatively correlated. It also discusses how correlation coefficients measure the strength of the relationship between two variables from -1 to 1. Regression analysis uses regression equations to predict unknown variable values from known variable values.
Introduction to simple linear regression and correlation in spss
1. The document discusses simple linear regression and correlation. It defines simple correlation and describes positive, negative, and no correlation between two variables.
2. It explains that the correlation coefficient shows the degree of relation between two variables and can range from -1 to 1.
3. Simple linear regression predicts an outcome variable (y) as a function of a predictor variable (x) using the linear regression formula y = B0 + B1x, where B0 is the intercept and B1 is the regression coefficient.
Week 1 lecture b how do economists work
This document provides an overview of key concepts in economics including:
- The difference between positive and normative statements
- What economic models are and examples like demand/supply, AS/AD, and consumer theory models
- How to interpret graphs showing relationships between economic variables like slope, linear vs nonlinear relationships, and maximums/minimums
- How economists test models and the different types of economists
- Tools like scatter diagrams and holding variables constant to understand relationships between multiple variables
Micro lesson grade 10
Grade 10 lesson on Vectors and Scalars. it is an introduction to the topic. Happy to see that all the skills i'm learning at uj is paying off.
Vectors and scalars - grade 10
Vectors have both magnitude and direction, while scalars only have magnitude. Vectors can be represented by arrows with length indicating magnitude and direction by the arrowhead. The resultant vector is a single vector that has the same overall effect as the combination of individual vectors acting together. Properties of vectors include that two vectors are equal if they have the same magnitude and direction, a negative vector has the opposite direction of the reference positive direction, and vectors must consider both magnitude and direction when added.
Graphs in economics
The document discusses key concepts in using graphs to model economic relationships. It defines variables, axes, and the difference between independent and dependent variables. Relationships between variables can be positive, negative, linear, or nonlinear as shown through curves on a graph. Calculating the slope of both linear and nonlinear curves is also explained. Maximum and minimum points are discussed along with calculating the area under or above a curve.
WF ED 540, Class Meeting13, 19 November 2015
This document discusses Pearson's product-moment correlation and its assumptions. It describes the range of correlation values and the null hypothesis of no correlation. It explains that correlation measures the strength of a linear association between two interval or ratio-scaled variables and is not a measure of causation. Hypothesis testing is used to determine if a correlation is statistically significant different than zero.
Prob77
The document describes a relativistic momentum paradox scenario involving two equal masses connected by a massless string and constrained to move parallel at a speed v. When the constraints are removed, the masses collide and stick together into a single blob with greater mass than the sum of the initial masses due to their collision speed. However, the document reasons that the x-direction momentum must remain constant, so the speed of the combined blob must be less than v, slowing down the overall apparatus.
Recommended
Correlation and regression
The document discusses correlation and regression analysis. It defines positive and negative correlation, as well as linear and non-linear correlation. It provides examples of variables that are positively and negatively correlated. It also discusses how correlation coefficients measure the strength of the relationship between two variables from -1 to 1. Regression analysis uses regression equations to predict unknown variable values from known variable values.
Introduction to simple linear regression and correlation in spss
1. The document discusses simple linear regression and correlation. It defines simple correlation and describes positive, negative, and no correlation between two variables.
2. It explains that the correlation coefficient shows the degree of relation between two variables and can range from -1 to 1.
3. Simple linear regression predicts an outcome variable (y) as a function of a predictor variable (x) using the linear regression formula y = B0 + B1x, where B0 is the intercept and B1 is the regression coefficient.
Week 1 lecture b how do economists work
This document provides an overview of key concepts in economics including:
- The difference between positive and normative statements
- What economic models are and examples like demand/supply, AS/AD, and consumer theory models
- How to interpret graphs showing relationships between economic variables like slope, linear vs nonlinear relationships, and maximums/minimums
- How economists test models and the different types of economists
- Tools like scatter diagrams and holding variables constant to understand relationships between multiple variables
Micro lesson grade 10
Grade 10 lesson on Vectors and Scalars. it is an introduction to the topic. Happy to see that all the skills i'm learning at uj is paying off.
Vectors and scalars - grade 10
Vectors have both magnitude and direction, while scalars only have magnitude. Vectors can be represented by arrows with length indicating magnitude and direction by the arrowhead. The resultant vector is a single vector that has the same overall effect as the combination of individual vectors acting together. Properties of vectors include that two vectors are equal if they have the same magnitude and direction, a negative vector has the opposite direction of the reference positive direction, and vectors must consider both magnitude and direction when added.
Graphs in economics
The document discusses key concepts in using graphs to model economic relationships. It defines variables, axes, and the difference between independent and dependent variables. Relationships between variables can be positive, negative, linear, or nonlinear as shown through curves on a graph. Calculating the slope of both linear and nonlinear curves is also explained. Maximum and minimum points are discussed along with calculating the area under or above a curve.
WF ED 540, Class Meeting13, 19 November 2015
This document discusses Pearson's product-moment correlation and its assumptions. It describes the range of correlation values and the null hypothesis of no correlation. It explains that correlation measures the strength of a linear association between two interval or ratio-scaled variables and is not a measure of causation. Hypothesis testing is used to determine if a correlation is statistically significant different than zero.
Prob77
The document describes a relativistic momentum paradox scenario involving two equal masses connected by a massless string and constrained to move parallel at a speed v. When the constraints are removed, the masses collide and stick together into a single blob with greater mass than the sum of the initial masses due to their collision speed. However, the document reasons that the x-direction momentum must remain constant, so the speed of the combined blob must be less than v, slowing down the overall apparatus.
S1 pb
This document discusses correlation analysis and different types of correlation. It defines correlation as a statistical analysis of the relationship between two or more variables. There are three main types of correlation discussed:
1. Positive correlation means that as one variable increases, the other also tends to increase. Negative correlation means that as one variable increases, the other tends to decrease.
2. Simple correlation analyzes the relationship between two variables, while multiple correlation analyzes three or more variables simultaneously. Partial correlation holds the effect of other variables constant.
3. Methods for measuring correlation include scatter diagrams, which graphically show the relationship, and algebraic formulas that calculate a correlation coefficient to quantify the strength and direction of the relationship.
Correlation
Correlation is utilized to test connections between quantitative factors or absolute factors. As such, it's a proportion of how things are connected. The investigation of how factors are associated is called correlation.
Engineering Mechanice Lecture 05
Here are the key steps to solve this problem:
1) Resolve each force into x and y components
2) Sum the x components and y components to find the net force
3) Sum the moments due to each force and the couple about any point to find the net moment
Without knowing the magnitudes and directions of the four forces and the couple, I cannot determine the specific resultant force and moment. But in general, the procedure would be to:
1) Resolve forces
2) Sum force components
3) Sum moments
This would give the overall resultant force and moment acting on the plate.
What is a pearson product moment correlation?
The document discusses the Pearson Product Moment Correlation, which is used to determine the strength and direction of the linear relationship between two continuous variables. A correlation of +1 means the variables are perfectly positively correlated, -1 means perfectly negatively correlated, and 0 means there is no linear relationship between the variables. Examples of different correlations are provided to illustrate what a correlation of +1, -1 and 0 would look like based on the rank ordering of the two variables.
Problem solving in Physics
This document provides an overview of problem-solving strategies and techniques for physics exams. It outlines a 5-step general problem-solving strategy of identifying known and unknown information, selecting a strategy, applying the strategy, and reviewing the answer. Mnemonic devices and the KUDOS method for word problems are also described. The document concludes with exam preparation and taking tips, such as staying ahead, making a cheat sheet, understanding question formats, and showing work.
Co re
The document discusses correlation and linear regression. It defines correlation as a statistical technique to determine the relationship between two quantitative variables without inferring causation. Correlation coefficient r ranges from -1 to 1, where values closer to -1 or 1 indicate a stronger linear relationship, and 0 indicates no relationship. Linear regression finds the line that best predicts the dependent variable Y from the independent variable X. It is defined by the slope and y-intercept of the regression line.
Momentum & Collisions cheat sheet
This document provides an overview of key concepts and formulas for momentum and collisions in AP Physics - Core. It defines important terms like vector, force, momentum, impulse, and conservation of momentum. It also distinguishes between elastic and inelastic collisions. Example problems and solutions are given to demonstrate how to apply the conservation of momentum formula to calculate changes in velocity or force from information about an object's mass, initial velocity, time of impact, and final velocity.
Case study on One way ANOVA
This document outlines a case study presentation on the correlation between systolic blood pressure and BMI. It includes an introduction, research question, hypothesis, normality test, descriptive analysis, inferential analysis, and conclusion. A Pearson correlation analysis was conducted on data from 96 adults. The results found a moderate positive correlation (r=0.228, p<0.05) between systolic levels and BMI, suggesting higher BMI is associated with higher systolic pressure.
What is a Pearson Product Moment Correlation (independence)?
The Pearson Product Moment Correlation is used to determine the relationship between two continuous variables. It results in a value between -1 and 1, where -1 is a perfect negative correlation, 0 is no correlation (independence), and 1 is a perfect positive correlation. A hypothetical example is given comparing average daily temperature and ice cream sales data to illustrate how the Pearson correlation would be calculated and interpreted.
Assignment 01
Regression transformations are used to satisfy the assumption of homogeneous variance between variables and to linearize relationships. Tukey's ladder of transformations involves raising a variable X to different powers represented by λ (e.g. -1, 0.5, 1, 2) to make the relationship as linear as possible. The goal is to reduce skewness through choosing a λ value that decreases positive skewness by moving down the ladder (e.g. square root) or increases negative skewness by moving up the ladder (e.g. squaring values).
7 1
This document summarizes key concepts from a 7th grade pre-algebra chapter on linear equations, including defining slope as the ratio of rise over run which indicates how steep a line is, how to calculate slope by taking the difference of the y-coordinates and dividing by the difference of the x-coordinates of two points on the line, and assigns students to work examples and problems from their textbook and workbook on the topics of slope and linear equations.
Math for Physics Cheat sheet
This document provides a summary of basic math concepts for physics including:
1) Algebraic operations for solving equations for variables such as adding, subtracting, multiplying, and dividing terms.
2) Procedures for calculations with significant figures when adding, subtracting, multiplying, and dividing quantities.
3) How to write numbers in scientific notation and perform calculations using scientific notation such as multiplication, division, powers, and roots.
Study of Correlation
This document discusses correlation analysis in agriculture. It begins by defining correlation as the relationship between two or more variables. Some key points:
- Correlation can be positive (variables move in the same direction), negative (variables move in opposite directions), linear, nonlinear, simple, multiple, partial or total.
- Common types analyzed in agriculture include the relationship between yield and rainfall, price and supply, height and weight.
- Methods for measuring correlation are discussed, including Karl Pearson's coefficient of correlation (denoted by r), Spearman's rank correlation, and scatter diagrams.
- The value of r ranges from -1 to 1, with higher positive or negative values indicating a stronger linear relationship between variables
01 psychological statistics 1
Study notes on Psychological Statistics for the Third Semester students of B.Sc Counselling Psychology of University of Calicut
Applied Math 40S April 22, 2008
Vectors can be represented in two ways: with a lowercase letter with an arrow above it, or with two uppercase letters from tail to tip and an arrow above. The magnitude of a vector is shown as the absolute value of the vector. Vectors are equivalent if they have the same magnitude and direction regardless of position, and opposite if they have the same magnitude but opposite directions.
Chapter 10 Test Review
The test will cover material from Chapter 10, including multiple choice, fill-in-the-blank, short answer, and calculation questions. Students should bring a calculator and be prepared to convert between temperature scales, use the heat equation q=mCpΔT, and calculate enthalpy changes from chemical reactions. Key terms, formulas, and a periodic table will be provided.
PROMISE 2011: "Handling missing data in software effort prediction with naive...
PROMISE 2011:
"Handling missing data in software effort prediction with naive Bayes and EM"
Wen Zhang, Ye Yang and Qing Wang.
Research design, philosophy and methods
This document discusses research design and methods. It outlines different research philosophies like positivism and post-modernism and how they influence knowledge generation. Qualitative and quantitative approaches are compared, with qualitative focused on understanding perspectives and meanings, while quantitative prioritizes measurable and statistical data. Examples of research designs, data collection methods, and analyses are provided for both qualitative and quantitative work. The document stresses using primary data for dissertations and supplementing with secondary data.
Research approach
The document discusses different research approaches including postpositivism, constructivism, transformative, and pragmatism worldviews. It provides an overview of the key components, principles, and comparisons of quantitative, qualitative, and mixed methods approaches. Quantitative approaches are tested through experiments and seek to generalize findings while qualitative approaches aim to understand meanings in context through discovery and exploration. Mixed methods combine deductive and inductive logic to get a multifaceted understanding of research problems. The criteria for selecting an approach depends on the problem, purpose, resources, and intended audience of the study.
Understanding research philosophies
This document discusses different research philosophies and approaches. It defines key characteristics of research paradigms such as ontology, epistemology, and axiology. It presents the "research onion" as a model of the layers within research philosophy. The main research philosophies discussed are positivism, realism, interpretivism, and pragmatism. Positivism is defined as trying to uncover objective truths about how the world works through logical deduction and empirical observation in order to predict and control outcomes.
Philosophy of Research
In this paper, the author presented how to carry out an appropriate research without any fear. Our intention is to motivated the researcher in such a technique that, they do not feel any difficulties when they start-up their research. After goes through this report, the researcher will never feel anxiety during their research work. Before starting the research work, researchers are fell trepidation but here presented approach will stirred up the researcher for research. The systematic process is presented in this paper for carry on the healthy research.
Introduction to research design
Research design and research approach are often used interchangeably but have distinct meanings. Research design provides the overall plan for conducting a research study, including key elements like the research approach, variables, sampling, data collection methods, and analysis. The research approach, such as qualitative or quantitative, is an important component that governs the research design. An effective research design considers factors like the nature of the research problem, resources, participants, ethics, and controls extraneous variables. It allows the researcher to systematically answer research questions or test hypotheses.
More Related Content
What's hot
S1 pb
This document discusses correlation analysis and different types of correlation. It defines correlation as a statistical analysis of the relationship between two or more variables. There are three main types of correlation discussed:
1. Positive correlation means that as one variable increases, the other also tends to increase. Negative correlation means that as one variable increases, the other tends to decrease.
2. Simple correlation analyzes the relationship between two variables, while multiple correlation analyzes three or more variables simultaneously. Partial correlation holds the effect of other variables constant.
3. Methods for measuring correlation include scatter diagrams, which graphically show the relationship, and algebraic formulas that calculate a correlation coefficient to quantify the strength and direction of the relationship.
Correlation
Correlation is utilized to test connections between quantitative factors or absolute factors. As such, it's a proportion of how things are connected. The investigation of how factors are associated is called correlation.
Engineering Mechanice Lecture 05
Here are the key steps to solve this problem:
1) Resolve each force into x and y components
2) Sum the x components and y components to find the net force
3) Sum the moments due to each force and the couple about any point to find the net moment
Without knowing the magnitudes and directions of the four forces and the couple, I cannot determine the specific resultant force and moment. But in general, the procedure would be to:
1) Resolve forces
2) Sum force components
3) Sum moments
This would give the overall resultant force and moment acting on the plate.
What is a pearson product moment correlation?
The document discusses the Pearson Product Moment Correlation, which is used to determine the strength and direction of the linear relationship between two continuous variables. A correlation of +1 means the variables are perfectly positively correlated, -1 means perfectly negatively correlated, and 0 means there is no linear relationship between the variables. Examples of different correlations are provided to illustrate what a correlation of +1, -1 and 0 would look like based on the rank ordering of the two variables.
Problem solving in Physics
This document provides an overview of problem-solving strategies and techniques for physics exams. It outlines a 5-step general problem-solving strategy of identifying known and unknown information, selecting a strategy, applying the strategy, and reviewing the answer. Mnemonic devices and the KUDOS method for word problems are also described. The document concludes with exam preparation and taking tips, such as staying ahead, making a cheat sheet, understanding question formats, and showing work.
Co re
The document discusses correlation and linear regression. It defines correlation as a statistical technique to determine the relationship between two quantitative variables without inferring causation. Correlation coefficient r ranges from -1 to 1, where values closer to -1 or 1 indicate a stronger linear relationship, and 0 indicates no relationship. Linear regression finds the line that best predicts the dependent variable Y from the independent variable X. It is defined by the slope and y-intercept of the regression line.
Momentum & Collisions cheat sheet
This document provides an overview of key concepts and formulas for momentum and collisions in AP Physics - Core. It defines important terms like vector, force, momentum, impulse, and conservation of momentum. It also distinguishes between elastic and inelastic collisions. Example problems and solutions are given to demonstrate how to apply the conservation of momentum formula to calculate changes in velocity or force from information about an object's mass, initial velocity, time of impact, and final velocity.
Case study on One way ANOVA
This document outlines a case study presentation on the correlation between systolic blood pressure and BMI. It includes an introduction, research question, hypothesis, normality test, descriptive analysis, inferential analysis, and conclusion. A Pearson correlation analysis was conducted on data from 96 adults. The results found a moderate positive correlation (r=0.228, p<0.05) between systolic levels and BMI, suggesting higher BMI is associated with higher systolic pressure.
What is a Pearson Product Moment Correlation (independence)?
The Pearson Product Moment Correlation is used to determine the relationship between two continuous variables. It results in a value between -1 and 1, where -1 is a perfect negative correlation, 0 is no correlation (independence), and 1 is a perfect positive correlation. A hypothetical example is given comparing average daily temperature and ice cream sales data to illustrate how the Pearson correlation would be calculated and interpreted.
Assignment 01
Regression transformations are used to satisfy the assumption of homogeneous variance between variables and to linearize relationships. Tukey's ladder of transformations involves raising a variable X to different powers represented by λ (e.g. -1, 0.5, 1, 2) to make the relationship as linear as possible. The goal is to reduce skewness through choosing a λ value that decreases positive skewness by moving down the ladder (e.g. square root) or increases negative skewness by moving up the ladder (e.g. squaring values).
7 1
This document summarizes key concepts from a 7th grade pre-algebra chapter on linear equations, including defining slope as the ratio of rise over run which indicates how steep a line is, how to calculate slope by taking the difference of the y-coordinates and dividing by the difference of the x-coordinates of two points on the line, and assigns students to work examples and problems from their textbook and workbook on the topics of slope and linear equations.
Math for Physics Cheat sheet
This document provides a summary of basic math concepts for physics including:
1) Algebraic operations for solving equations for variables such as adding, subtracting, multiplying, and dividing terms.
2) Procedures for calculations with significant figures when adding, subtracting, multiplying, and dividing quantities.
3) How to write numbers in scientific notation and perform calculations using scientific notation such as multiplication, division, powers, and roots.
Study of Correlation
This document discusses correlation analysis in agriculture. It begins by defining correlation as the relationship between two or more variables. Some key points:
- Correlation can be positive (variables move in the same direction), negative (variables move in opposite directions), linear, nonlinear, simple, multiple, partial or total.
- Common types analyzed in agriculture include the relationship between yield and rainfall, price and supply, height and weight.
- Methods for measuring correlation are discussed, including Karl Pearson's coefficient of correlation (denoted by r), Spearman's rank correlation, and scatter diagrams.
- The value of r ranges from -1 to 1, with higher positive or negative values indicating a stronger linear relationship between variables
01 psychological statistics 1
Study notes on Psychological Statistics for the Third Semester students of B.Sc Counselling Psychology of University of Calicut
Applied Math 40S April 22, 2008
Vectors can be represented in two ways: with a lowercase letter with an arrow above it, or with two uppercase letters from tail to tip and an arrow above. The magnitude of a vector is shown as the absolute value of the vector. Vectors are equivalent if they have the same magnitude and direction regardless of position, and opposite if they have the same magnitude but opposite directions.
Chapter 10 Test Review
The test will cover material from Chapter 10, including multiple choice, fill-in-the-blank, short answer, and calculation questions. Students should bring a calculator and be prepared to convert between temperature scales, use the heat equation q=mCpΔT, and calculate enthalpy changes from chemical reactions. Key terms, formulas, and a periodic table will be provided.
What's hot (16)
What is a Pearson Product Moment Correlation (independence)?
What is a Pearson Product Moment Correlation (independence)?
Viewers also liked
PROMISE 2011: "Handling missing data in software effort prediction with naive...
PROMISE 2011:
"Handling missing data in software effort prediction with naive Bayes and EM"
Wen Zhang, Ye Yang and Qing Wang.
Research design, philosophy and methods
This document discusses research design and methods. It outlines different research philosophies like positivism and post-modernism and how they influence knowledge generation. Qualitative and quantitative approaches are compared, with qualitative focused on understanding perspectives and meanings, while quantitative prioritizes measurable and statistical data. Examples of research designs, data collection methods, and analyses are provided for both qualitative and quantitative work. The document stresses using primary data for dissertations and supplementing with secondary data.
Research approach
The document discusses different research approaches including postpositivism, constructivism, transformative, and pragmatism worldviews. It provides an overview of the key components, principles, and comparisons of quantitative, qualitative, and mixed methods approaches. Quantitative approaches are tested through experiments and seek to generalize findings while qualitative approaches aim to understand meanings in context through discovery and exploration. Mixed methods combine deductive and inductive logic to get a multifaceted understanding of research problems. The criteria for selecting an approach depends on the problem, purpose, resources, and intended audience of the study.
Understanding research philosophies
This document discusses different research philosophies and approaches. It defines key characteristics of research paradigms such as ontology, epistemology, and axiology. It presents the "research onion" as a model of the layers within research philosophy. The main research philosophies discussed are positivism, realism, interpretivism, and pragmatism. Positivism is defined as trying to uncover objective truths about how the world works through logical deduction and empirical observation in order to predict and control outcomes.
Philosophy of Research
In this paper, the author presented how to carry out an appropriate research without any fear. Our intention is to motivated the researcher in such a technique that, they do not feel any difficulties when they start-up their research. After goes through this report, the researcher will never feel anxiety during their research work. Before starting the research work, researchers are fell trepidation but here presented approach will stirred up the researcher for research. The systematic process is presented in this paper for carry on the healthy research.
Introduction to research design
Research design and research approach are often used interchangeably but have distinct meanings. Research design provides the overall plan for conducting a research study, including key elements like the research approach, variables, sampling, data collection methods, and analysis. The research approach, such as qualitative or quantitative, is an important component that governs the research design. An effective research design considers factors like the nature of the research problem, resources, participants, ethics, and controls extraneous variables. It allows the researcher to systematically answer research questions or test hypotheses.
Research Paradigms:Ontology's, Epistemologies & Methods
Research Paradigms:Ontology's, Epistemologies & MethodseLearn Center (Universitat Oberta de Catalunya)
This document discusses four main research paradigms: positivism, interpretivism/constructivism, critical, and pragmatic. It provides an overview of the key aspects of each paradigm, including their ontology (nature of reality), epistemology (nature of knowledge), typical research questions, and common methodologies. The document uses examples from educational technology research to illustrate different studies that fall within each paradigm. Overall, it analyzes the tradeoffs of different paradigms and argues that the choice depends on personal views, the research question, available resources, and supervisory support, with no single best approach.C3.4.2
This document discusses handling missing data in machine learning models. It presents three main strategies: 1) purification by skipping, which removes data points or features with missing values; 2) purification by imputing, which replaces missing values using techniques like mean imputation; and 3) adapting the learning algorithm to be robust to missing values, such as modifying decision trees to include branches for handling missing data. The document explores techniques within each strategy and discusses their pros and cons.
Qualitative data analysis
This presentation summarizes qualitative data analysis methods in a brief manner. Read and use for your qualitative researches.
Viewers also liked (9)
PROMISE 2011: "Handling missing data in software effort prediction with naive...
PROMISE 2011: "Handling missing data in software effort prediction with naive...
Research Paradigms:Ontology's, Epistemologies & Methods
Research Paradigms:Ontology's, Epistemologies & Methods
Similar to Presentation1
Correlation by ramesh kumar
This power point presentation is regarding Correlation , Kinds of correlation, Positive and Negative Correlation, Linear and Non - linear correlation.
BS_5Correlation.pptx
This document discusses different types and methods of studying correlation between variables. It defines correlation as the relationship between two or more variables. There can be positive correlation, where variables change in the same direction, negative correlation, where they change in opposite directions, and no correlation. Methods of studying correlation include scatter diagrams, which plot the variables to show their relationship, and Karl Pearson's coefficient of correlation, which measures the strength of the linear relationship between variables mathematically. The coefficient r ranges from -1 to 1, indicating the degree of negative or positive correlation.
Correlation and Regression.pptx
This document discusses correlation and regression analysis. It defines correlation as a measure of the linear relationship between two variables and notes its uses in various fields. Simple linear regression fits a linear equation to describe the relationship between a dependent variable (Y) and independent variable (X). Key points covered include:
- Types of correlation such as positive, negative, simple, and multiple
- Methods for measuring correlation including scatter plots and Pearson's correlation coefficient
- Assumptions and properties of correlation coefficients
- The linear regression equation Y=a+bX which is estimated using the least squares method
- Assumptions of linear regression such as independent errors and homoscedasticity
- Tests for significance of the correlation coefficient and regression coefficient
correlation and regression.pptx
This document discusses correlation and regression analysis. It defines correlation as the extent and nature of the relationship between two variables. Correlation can be positive, negative, simple, partial or multiple depending on the direction and number of variables. The degree of correlation is measured using scatter plots, which visually show the relationship, and the correlation coefficient r, which provides a numerical measure between -1 and 1. Regression analysis involves using one variable to predict or forecast the other. The document outlines different types and methods of regression analysis and their applications in fields like agriculture, genetics and medicine.
correlation and its types -ppt
This document introduces various types of correlation. Correlation refers to the relationship between two or more variables. There are positive and negative correlations. Positive correlation means that as one variable increases, the other also increases, while negative correlation means that one variable increases as the other decreases. Other types discussed include simple, partial, and multiple correlation. Linear correlation means the ratio of change between variables is constant, while non-linear correlation means the ratio of change is not constant. Examples are provided for each type of correlation.
Research Methodology-3
1) Correlation measures the relationship between two or more variables and can be positive, negative, or zero. Positive correlation means variables change in the same direction, while negative means they change in opposite directions.
2) Common methods to calculate correlation are scatter diagrams, Karl Pearson's product moment method, and Spearman's rank correlation coefficient.
3) Regression analysis uses independent and dependent variables to measure cause-and-effect relationships and make predictions about future values based on past data in time series analysis. Components of time series include trends, seasonal variations, cyclical variations, and irregular variations.
CORRELATION.pptx(unit 4).pptx
Correlation describes the strength and direction of a linear relationship between two variables. It ranges from +1 to -1, where +1 is total positive correlation, 0 is no correlation, and -1 is total negative correlation. Correlation only measures the extent to which two variables change together, but does not imply that one variable causes the other. There can be positive, negative, nonlinear, or no correlation between variables.
Module - 2 correlation and regression.pptx
1. Correlation analyzes the relationship between two variables, determining the degree to which they change together. Regression finds the relationship between a dependent and independent variable to estimate or predict future values.
2. Simple linear regression analyzes the relationship between one dependent and one independent variable. Multiple linear regression generalizes this to multiple independent variables.
3. Correlation is measured using methods like scatter diagrams, Pearson's correlation coefficient, and Spearman's rank correlation coefficient. The degree of correlation ranges from perfect to zero.
Module - 2 correlation and regression.pptx
1. Correlation analyzes the relationship between two variables, determining the degree to which they change together. Regression finds the relationship between a dependent and independent variable to estimate or predict future values.
2. Simple linear regression analyzes the relationship between one dependent and one independent variable. Multiple linear regression generalizes this to multiple independent variables.
3. Correlation is measured using methods like scatter diagrams, Pearson's correlation coefficient, and Spearman's rank correlation coefficient. The degree of correlation ranges from perfect to zero.
12 rhl gta
The document discusses various concepts related to time series analysis and correlation. It defines time series as a sequence of data points measured over successive time periods. Time series analysis is used to extract meaningful patterns from temporal data and forecast future values. Correlation analysis examines the relationship between two quantitative variables, and can be positive, negative, linear or non-linear. Regression analysis is used to estimate the value of a dependent variable based on the value of an independent variable. Key components of time series include trends, cyclical variations, seasonal variations, and irregular variations.
Biostatistics - Correlation explanation.pptx
This document discusses correlation and methods for studying correlation. Correlation refers to the relationship between two variables, where a positive correlation means the variables change in the same direction and a negative correlation means they change in opposite directions. Methods for studying correlation include scatter plots, Karl Pearson's coefficient of correlation (denoted r), and the coefficient of determination (denoted r2). The coefficient of correlation quantifies the strength and direction of the linear relationship between variables while the coefficient of determination indicates how much variability in one variable can be predicted from the other variable.
Correlationanalysis
Correlation analysis is used to determine the relationship between two or more variables. It can analyze the degree, direction, and type of relationship. The key types of correlation are positive (variables increase together), negative (variables change inversely), simple (two variables), partial (three+ variables with some held constant), and multiple (three+ variables together). Correlation can also be linear (constant ratio of changes) or non-linear (varying ratio of changes). It is useful for understanding variable behavior, estimating values, and interpreting results with measures like the correlation coefficient and coefficient of determination.
Correlation.pptx
This document discusses simple linear correlation. It defines correlation as the co-variation between two or more variables. The main types of correlation discussed are positive and negative correlation, and linear and non-linear correlation. Positive correlation means that as one variable increases, the other also increases, while negative correlation means one variable increases as the other decreases. Linear correlation means the relationship between the variables is constant, while non-linear means it is not. Methods for studying correlation discussed include scatter diagrams, Pearson's coefficient of correlation, and rank correlation.
correlationandregression1-200905162711.pdf
1. Correlation analysis measures the strength and direction of the linear relationship between two variables. It ranges from -1 to 1, where -1 is a perfect negative correlation, 0 is no correlation, and 1 is a perfect positive correlation.
2. Scatter diagrams provide a visual representation of the relationship between two variables but do not provide a precise measure of correlation. Pearson's correlation coefficient (r) calculates the numerical strength of the linear relationship.
3. Correlation is widely used in fields like agriculture, genetics, and physiology to study relationships between variables like crop yield and fertilizer use, gene linkage, and organism growth and environmental factors.
Correlation and Regression
1. Correlation analysis measures the strength and direction of the linear relationship between two variables. It ranges from -1 to 1, where -1 is a perfect negative correlation, 0 is no correlation, and 1 is a perfect positive correlation.
2. Scatter diagrams provide a visual representation of the relationship between two variables but do not provide a precise measure of correlation. Pearson's correlation coefficient (r) calculates the numerical strength of the linear relationship.
3. Correlation is widely used in fields like agriculture, genetics, and physiology to study relationships between variables like crop yield and fertilizer use, gene linkage, and organism growth and environmental factors.
Similar to Presentation1 (15)
Recently uploaded
4 Benefits of Partnering with an OnlyFans Agency for Content Creators.pdf
In the competitive world of content creation, standing out and maximising revenue on platforms like OnlyFans can be challenging. This is where partnering with an OnlyFans agency can make a significant difference. Here are five key benefits for content creators considering this option:
Business storytelling: key ingredients to a story
Storytelling is an incredibly valuable tool to share data and information. To get the most impact from stories there are a number of key ingredients. These are based on science and human nature. Using these elements in a story you can deliver information impactfully, ensure action and drive change.
Cover Story - China's Investment Leader - Dr. Alyce SU
In World Expo 2010 Shanghai – the most visited Expo in the World History
https://www.britannica.com/event/Expo-Shanghai-2010
China’s official organizer of the Expo, CCPIT (China Council for the Promotion of International Trade https://en.ccpit.org/) has chosen Dr. Alyce Su as the Cover Person with Cover Story, in the Expo’s official magazine distributed throughout the Expo, showcasing China’s New Generation of Leaders to the World.
The Steadfast and Reliable Bull: Taurus Zodiac Sign
Explore the steadfast and reliable nature of the Taurus Zodiac Sign. Discover the personality traits, key dates, and horoscope insights that define the determined and practical Taurus, and learn how their grounded nature makes them the anchor of the zodiac.
Best Competitive Marble Pricing in Dubai - ☎ 9928909666
Stone Art Hub offers the best competitive Marble Pricing in Dubai, ensuring affordability without compromising quality. With a wide range of exquisite marble options to choose from, you can enhance your spaces with elegance and sophistication. For inquiries or orders, contact us at ☎ 9928909666. Experience luxury at unbeatable prices.
Call8328958814 satta matka Kalyan result satta guessing
Satta Matka Kalyan Main Mumbai Fastest Results
Satta Matka ❋ Sattamatka ❋ New Mumbai Ratan Satta Matka ❋ Fast Matka ❋ Milan Market ❋ Kalyan Matka Results ❋ Satta Game ❋ Matka Game ❋ Satta Matka ❋ Kalyan Satta Matka ❋ Mumbai Main ❋ Online Matka Results ❋ Satta Matka Tips ❋ Milan Chart ❋ Satta Matka Boss❋ New Star Day ❋ Satta King ❋ Live Satta Matka Results ❋ Satta Matka Company ❋ Indian Matka ❋ Satta Matka 143❋ Kalyan Night Matka..
The Genesis of BriansClub.cm Famous Dark WEb Platform
BriansClub.cm, a famous platform on the dark web, has become one of the most infamous carding marketplaces, specializing in the sale of stolen credit card data.
Ellen Burstyn: From Detroit Dreamer to Hollywood Legend | CIO Women Magazine
In this article, we will dive into the extraordinary life of Ellen Burstyn, where the curtains rise on a story that's far more attractive than any script.
Zodiac Signs and Food Preferences_ What Your Sign Says About Your Taste
Know what your zodiac sign says about your taste in food! Explore how the 12 zodiac signs influence your culinary preferences with insights from MyPandit. Dive into astrology and flavors!
一比一原版(QMUE毕业证书)英国爱丁堡玛格丽特女王大学毕业证文凭如何办理
永久可查学历认证【微信：A575476】【(QMUE毕业证书)英国爱丁堡玛格丽特女王大学毕业证成绩单Offer】【微信：A575476】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：A575476】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：A575476】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Industrial Tech SW: Category Renewal and Creation
Every industrial revolution has created a new set of categories and a new set of players.
Multiple new technologies have emerged, but Samsara and C3.ai are only two companies which have gone public so far.
Manufacturing startups constitute the largest pipeline share of unicorns and IPO candidates in the SF Bay Area, and software startups dominate in Germany.
DearbornMusic-KatherineJasperFullSailUni
My powerpoint presentation for my Music Retail and Distribution class at Full Sail University
Profiles of Iconic Fashion Personalities.pdf
The fashion industry is dynamic and ever-changing, continuously sculpted by trailblazing visionaries who challenge norms and redefine beauty. This document delves into the profiles of some of the most iconic fashion personalities whose impact has left a lasting impression on the industry. From timeless designers to modern-day influencers, each individual has uniquely woven their thread into the rich fabric of fashion history, contributing to its ongoing evolution.
Negotiation & Presentation Skills regarding steps in business communication, ...
Business Communication & presentation Skills, Negotiation Skills
❼❷⓿❺❻❷❽❷❼❽ Dpboss Matka Result Satta Matka Guessing Satta Fix jodi Kalyan Fin...
❼❷⓿❺❻❷❽❷❼❽ Dpboss Matka Result Satta Matka Guessing Satta Fix jodi Kalyan Fin...❼❷⓿❺❻❷❽❷❼❽ Dpboss Kalyan Satta Matka Guessing Matka Result Main Bazar chart
❼❷⓿❺❻❷❽❷❼❽ Dpboss Matka Result Satta Matka Guessing Satta Fix jodi Kalyan Final ank Satta Matka Dpbos Final ank Satta Matta Matka 143 Kalyan Matka Guessing Final Matka Final ank Today Matka 420 Satta Batta Satta 143 Kalyan Chart Main Bazar Chart vip Matka Guessing Dpboss 143 Guessing Kalyan night How HR Search Helps in Company Success.pdf
HR search is critical to a company's success because it ensures the correct people are in place. HR search integrates workforce capabilities with company goals by painstakingly identifying, screening, and employing qualified candidates, supporting innovation, productivity, and growth. Efficient talent acquisition improves teamwork while encouraging collaboration. Also, it reduces turnover, saves money, and ensures consistency. Furthermore, HR search discovers and develops leadership potential, resulting in a strong pipeline of future leaders. Finally, this strategic approach to recruitment enables businesses to respond to market changes, beat competitors, and achieve long-term success.
Presentation by Herman Kienhuis (Curiosity VC) on Investing in AI for ABS Alu...
Presentation by Herman Kienhuis (Curiosity VC) on developments in AI, the venture capital investment landscape and Curiosity VC's approach to investing, at the alumni event of Amsterdam Business School (University of Amsterdam) on June 13, 2024 in Amsterdam.
Dpboss Matka Guessing Satta Matta Matka Kalyan Chart Satta Matka
Dpboss Matka Guessing Satta Matta Matka Kalyan Chart Satta Matka➒➌➎➏➑➐➋➑➐➐Dpboss Matka Guessing Satta Matka Kalyan Chart Indian Matka
Dpboss Matka Guessing Satta Matta Matka Kalyan Chart Indian Matka Indian satta Matka Dpboss Matka Kalyan Chart Matka Boss otg matka Guessing Satta TIMES BPO: Business Plan For Startup Industry
Starting a business is like embarking on an unpredictable adventure. It’s a journey filled with highs and lows, victories and defeats. But what if I told you that those setbacks and failures could be the very stepping stones that lead you to fortune? Let’s explore how resilience, adaptability, and strategic thinking can transform adversity into opportunity.
Recently uploaded (20)
4 Benefits of Partnering with an OnlyFans Agency for Content Creators.pdf
4 Benefits of Partnering with an OnlyFans Agency for Content Creators.pdf
Cover Story - China's Investment Leader - Dr. Alyce SU
Cover Story - China's Investment Leader - Dr. Alyce SU
The Steadfast and Reliable Bull: Taurus Zodiac Sign
The Steadfast and Reliable Bull: Taurus Zodiac Sign
Best Competitive Marble Pricing in Dubai - ☎ 9928909666
Best Competitive Marble Pricing in Dubai - ☎ 9928909666
Call8328958814 satta matka Kalyan result satta guessing
Call8328958814 satta matka Kalyan result satta guessing
The Genesis of BriansClub.cm Famous Dark WEb Platform
The Genesis of BriansClub.cm Famous Dark WEb Platform
Ellen Burstyn: From Detroit Dreamer to Hollywood Legend | CIO Women Magazine
Ellen Burstyn: From Detroit Dreamer to Hollywood Legend | CIO Women Magazine
Zodiac Signs and Food Preferences_ What Your Sign Says About Your Taste
Zodiac Signs and Food Preferences_ What Your Sign Says About Your Taste
Negotiation & Presentation Skills regarding steps in business communication, ...
Negotiation & Presentation Skills regarding steps in business communication, ...
❼❷⓿❺❻❷❽❷❼❽ Dpboss Matka Result Satta Matka Guessing Satta Fix jodi Kalyan Fin...
❼❷⓿❺❻❷❽❷❼❽ Dpboss Matka Result Satta Matka Guessing Satta Fix jodi Kalyan Fin...
Presentation by Herman Kienhuis (Curiosity VC) on Investing in AI for ABS Alu...
Presentation by Herman Kienhuis (Curiosity VC) on Investing in AI for ABS Alu...
Registered-Establishment-List-in-Uttarakhand-pdf.pdf
Registered-Establishment-List-in-Uttarakhand-pdf.pdf
Dpboss Matka Guessing Satta Matta Matka Kalyan Chart Satta Matka
Dpboss Matka Guessing Satta Matta Matka Kalyan Chart Satta Matka
Presentation1
- 1. CORRELATION
- 2. Definition • Tendency of two or more groups or series of items to vary together directly or inversely. • Analysis of association b/n two variables. • Eg; price & supply
- 3. Different kinds of correlation • Positive & negative • Linear & non – linear • Simple , multiple & partial
- 4. Positive & negative • +ve - value of two variables moves in same direction. • Eg; price& supply • -ve- value of two variables moves in opposite direction. • Eg; price& demand
- 7. Linear and non- linear • Linear –const ratio of change exist b/n two variables. • Eg ; X : 20 25 30 35 40 y : 30 37.5 45 52.5 60 ratio 2:3. Non-linear-no const ratio
- 8. Simple, partial & multiple • Simple – only two variables • Multiple-degree of association b/n one variable to others. • Eg ;yield with both rainfall & temperature. • Partial –relating 2 variables assuming one as const. • Eg –yield & rain fall (temperature const).