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1. An educator wants to see how the TV watching has affects the student's GPA. The data collected is in the following table. The following questions refer to the data and plot below. a. Descride the scatterpiot: b. Compute correlation. c. Give the Least Squares Regression Line d. Predict the GPA of a student that watches 40 hours of TV per week. Is this prediction reliable? e. What is the value of the slope of the least squares regression line. Give an interpretation of the slope of the least squares regression line in the context of this problem. f. Compute the residual for the student that watches 20 hours of TV..

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1. An educator wants to see how the TV watching has affects the student's GPA. The data collected is in the following table. The following questions refer to the data and plot below. a. Descride the scatterpiot: b. Compute correlation. c. Give the Least Squares Regression Line d. Predict the GPA of a student that watches 40 hours of TV per week. Is this prediction reliable? e. What is the value of the slope of the least squares regression line. Give an interpretation of the slope of the least squares regression line in the context of this problem. f. Compute the residual for the student that watches 20 hours of TV.

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