Our first example of regression (Example5.1, page 116) presented data showing that

Chapter 0, Problem 24.34

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Our first example of regression (Example5.1, page 116) presented data showing that people who increased theirnonexercise activity (NEA) when they were deliberately overfed gained less fatthan other people. Use software to add formal inference to the data analysis forthese data.(a) Based on 16 subjects, the correlation between NEA increase and fat gain wasr = 0.7786. Is this significant evidence that people with higher NEA increasegain less fat? (b) The slope of the least-squares regression line was b = 0.00344, so that fatgain decreased by 0.00344 kilogram for each added calorie of NEA. Give a 90%confidence interval for the slope of the population regression line. This rate ofchange is the most important parameter to be estimated.(c) Sams NEA increases by 400 calories. His predicted fat gain is 2.13 kilograms.Give a 95% interval for predicting Sams fat gain.

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