A random sample of college students was surveyed about how they spend their time each week. The scatterplot below displays the relationship between the number of hours each student typically works per week at a part- or full-time job and the number of hours of television each student typically watches per week. The correlation between these variables is r = –0.63, and the equation we would use to predict hours spent watching TV based on hours spent working is as follows: Predicted hours spent watching TV = 17.21 – 0.23(hours spent working) Based on the regression equation, what would be the predicted number of hours of TV watched per week for a student who works 20 hours per week? ________% of the variability in hours spent watching TV per week can be explained by the regression equation, and ________% of the variability in hours spent watching TV per week cannot be explained by the regression equation.
A random sample of college students was surveyed about how they spend their time each week. The scatterplot below displays the relationship between the number of hours each student typically works per week at a part- or full-time job and the number of hours of television each student typically watches per week. The correlation between these variables is r = –0.63, and the equation we would use to predict hours spent watching TV based on hours spent working is as follows: Predicted hours spent watching TV = 17.21 – 0.23(hours spent working) Based on the regression equation, what would be the predicted number of hours of TV watched per week for a student who works 20 hours per week? ________% of the variability in hours spent watching TV per week can be explained by the regression equation, and ________% of the variability in hours spent watching TV per week cannot be explained by the regression equation.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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A random sample of college students was surveyed about how they spend their time each week. The
Predicted hours spent watching TV = 17.21 – 0.23(hours spent working)
- Based on the regression equation, what would be the predicted number of hours of TV watched per week for a student who works 20 hours per week?
- ________% of the variability in hours spent watching TV per week can be explained by the regression equation, and ________% of the variability in hours spent watching TV per week cannot be explained by the regression equation.
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