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Alg II 2-5 Linear Models

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Alg II 2-5 Linear Models

1. 1. Algebra II Chapter 2 Functions, Equations, and Graphs© Tentinger
2. 2.  Essential Understanding: Sometimes it is possible to model data from a real-world situation with a linear equation. You can then use the equation to draw conclusions about the situation. Objectives: Students will be able to  write linear equations that model real world data  make predictions from linear models of data  define and identify various types of correlation
3. 3.  Algebra A-CED.2. Create equations in two or more variables to represent relationships between quantities; graph equations on coordinate axes with labels and scales. Functions F-IF.4. For a function that models a relationship between two quantities, interpret key features of graphs and tables in terms of the quantities, and sketch graphs showing key features given a verbal description of the relationship★ F-IF.6. Calculate and interpret the average rate of change of a function (presented symbolically or as a table) over a specified interval. Estimate the rate of change from a graph.★ F-BF.1. Write a function that describes a relationship between two quantities.★
4. 4.  What is a scatter plot? A graph that relates two sets of data by plotting the data as ordered pairs. Can be used to determine strength of a relationship. The closer the points fall together the stronger the correlation(Correlation does not mean causation)
5. 5.  5 basic types of correlation
6. 6.  The following table shows the number of hours students spent online the day before a test and the scores on the test. Make a Scatter Plot and describe the correlation.  What would you predict the test score to be of someone who was online for 2.5 hours? Computer Use and Test Scores # of 0 0 1 1 1.5 1.75 2 2 3 4 4.5 5HoursOnlineTest 100 94 98 88 92 89 75 70 78 72 57 60Scores
7. 7.  Trend Line: a line that approximates the relationship between the variables, or data sets, of a scatter plot. You can use a trend line to make predictions from the data You can pick to two points in the scatter plot to represent the equation of a trend line
8. 8.  The table shows median home prices in California. What is the equation for a trend line that models the relationship between time and home prices? California Median Home PricesYear 1940 1950 1960 1970 1980 1990 2000Median 36,700 57,900 74,400 88,700 167,300 249,800 211,500Price (\$)
9. 9.  Line of Best Fit: trend line that gives the most accurate model of related data This is the linear regression (LinReg) function on your calculator Correlation Coefficient: r, indicates the strength of the correlation. The closer the data is to 1 or -1, the more closely the data resembles a line and the more accurate your model is.
10. 10.  The table lists the cost of 2% milk. Use a scatter plot to find the equation of the line of best fit. Based on your linear model, how much would you expect to pay for a gallon of 2% milk in 2025? Cost of 2% Milk Year 1998 2000 2002 2004 2006 2008Avg Cost for 1 gal 2.57 2.83 2.93 2.93 3.10 3.71 (\$)
11. 11.  Pg. 96-97 #1-4, 8-12 even, 13, 14, 18 (10 problems)