Is the number of hours that a person watches TV related to a person's weight? In a sample of 16 people, the average number of hours per week that a person watches TV and the amount (in pounds) by which that person is overweight were recorded. (A negative value of overweightness means that that person is underweight.) The data are summarized. Plot of Overweight vs Television 18 22 26 30 Television 34 38 Least Squares Standard Estimate T Parameter Error Statistic P- Value Intercept Slope -25.2594 2.51785 -10.0321 0.0000 1.01075 0.0817357 12.3661 0.0000 Correlation Coefficient = 0.957146 R-squared = 91.6128 percent R-squared (adjusted for d.f.)= 91.0137 percent Standard Error of Est. = 2.37306 a) Calculate a 95% prediction interval and interpret your answer. Overweight

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Is the number of hours that a person watches TV related to a person's weight? In a sample of
16 people, the average number of hours per week that a person watches TV and the amount (in
pounds) by which that person is overweight were recorded. (A negative value of
overweightness means that that person is underweight.) The data are summarized.
Plot of Overweight vs Television
21
16
18
22
26
30
Television
34
38
42
Least Squares Standard
Estimate
T
Parameter
Error
Statistic P-
Value
Intercept
Slope
-25.2594
2.51785
-10.0321 0.0000
1.01075
0.0817357 12.3661 0.0000
Correlation Coefficient = 0.957146
R-squared = 91.6128 percent
R-squared (adjusted for d.f.) = 91.0137 percent
Standard Error of Est. = 2.37306
a) Calculate a 95% prediction interval and interpret your answer.
Overweight
Transcribed Image Text:Is the number of hours that a person watches TV related to a person's weight? In a sample of 16 people, the average number of hours per week that a person watches TV and the amount (in pounds) by which that person is overweight were recorded. (A negative value of overweightness means that that person is underweight.) The data are summarized. Plot of Overweight vs Television 21 16 18 22 26 30 Television 34 38 42 Least Squares Standard Estimate T Parameter Error Statistic P- Value Intercept Slope -25.2594 2.51785 -10.0321 0.0000 1.01075 0.0817357 12.3661 0.0000 Correlation Coefficient = 0.957146 R-squared = 91.6128 percent R-squared (adjusted for d.f.) = 91.0137 percent Standard Error of Est. = 2.37306 a) Calculate a 95% prediction interval and interpret your answer. Overweight
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