A regression was run using 11 subjects 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: Regression Equation....... y=b0+b1xy=b0+b1x Slope..................... b1=−1.282b1=-1.282 y-Intercept............... b0=38.871b0=38.871 Sample size............... n=11n=11 Correlation Coefficient... r=−0.79r=-0.79 Use this to predict the number of situps a person who watches 1 hours of TV can do (to one decimal place)

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Chapter4: Linear Functions
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A regression was run using 11 subjects 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:

Regression Equation....... y=b0+b1xy=b0+b1x
Slope..................... b1=−1.282b1=-1.282
y-Intercept............... b0=38.871b0=38.871
Sample size............... n=11n=11
Correlation Coefficient... r=−0.79r=-0.79



Use this to predict the number of situps a person who watches 1 hours of TV can do (to one decimal place)

 
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