Dear tutor kindly help me Is the number of hours that a person watches TV related to a person's weight? In a sample of16 people, the average number of hours per week that a person watches TV and the amount (inpounds) by which that person is overweight were recorded. (A negative value ofoverweightness means that that person is underweight.) The data are summarized.Plot of Overweight vs Television211618222630Television343842Least Squares StandardEstimateTParameterErrorStatistic P-ValueInterceptSlope-25.25942.51785-10.0321 0.00001.010750.0817357 12.3661 0.0000Correlation Coefficient = 0.957146R-squared = 91.6128 percentR-squared (adjusted for d.f.) = 91.0137 percentStandard Error of Est. = 2.37306a) Calculate a 95% prediction interval and interpret your answer.Overweight

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Description: Dear tutor kindly help me Is the number of hours that a person watches TV related to a person's weight? In a sample of16 people, the average number of hours per week that a person watches TV and the amount (inpounds) by which that person is overweigh

The 95% prediction interval is equal to

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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 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

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

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter3: Functions And Graphs

Section3.3: Lines

Problem 76E

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