> Question 3 Evaluating a regression model: A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y = - 0.796 · r + 37.909, with an R-squared value of 0.583696. Assume the model indicates a significant relationship between hours of TV watched and the number of situps a person can do. Use the model to predict the number of situps a person who watches 10.5 hours of TV can do (to one decimal place).

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Question 3
Evaluating a regression model: A regression was run to determine if there is a relationship between hours of
TV watched per day (x) and number of situps a person can do (y).
0.796 · x + 37.909, with an R-squared value of 0.583696. Assume
The results of the regression were: y =
the model indicates a significant relationship between hours of TV watched and the number of situps a person
can do. Use the model to predict the number of situps a person who watches 10.5 hours of TV can do (to one
-
decimal place).
Transcribed Image Text:<> Question 3 Evaluating a regression model: A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). 0.796 · x + 37.909, with an R-squared value of 0.583696. Assume The results of the regression were: y = the model indicates a significant relationship between hours of TV watched and the number of situps a person can do. Use the model to predict the number of situps a person who watches 10.5 hours of TV can do (to one - decimal place).
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