7.4 Linear Regression Equations
7.4 Linear Regression Equations
Here you’ll learn how to use a Texas Instruments calculator to create a scatter plot and to determine the equation of
the line of best fit. You’ll also learn how to determine if a linear regression equation is a good fit for the data.
Suppose you have a large database that includes the scores on physics exams and calculus exams from high school
students across your state who took both tests. You want to find out whether there is a correlation between these two
sets of scores. What tools could you use to find out this information in an efficient way?
Watch This
First watch this video to learn about linear regression equations.
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Click image to the left for more content.CK-12 Foundation: Chapter7LinearRegressionEquationsA
Then watch this video to see some examples.
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Click image to the left for more content.CK-12 Foundation: Chapter7LinearRegressionEquationsB
Watch this video for more help.
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Click image to the left for more content.James Sousa Linear Regression on the TI84 - Example 1
Guidance
Scatter plots and lines of best fit can also be drawn by using technology. The TI-83 is capable of graphing both a
scatter plot and of inserting the line of best fit onto the scatter plot. The calculator is also able to find thecorrelation
coefficient(r)and thecoefficient of determination(r^2 )for the linear regression equation.