The intervals given are for mice that eat 10% of their calories during the day: In Exercise

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The intervals given are for mice that eat 10% of their calories during the day:

DayPct 10.0 Fit SE Fit 95% CI (-0.013, 4.783) 95% PI (-2.797, 7.568) 2.385 1.164


In Exercise 9.18 on page 535, we look at a model to predict weight gain (in grams) in mice based on the percent of calories the mice eat during the day (when mice should be sleeping instead of eating). We give computer output with two regression intervals and information about the percent of calories eaten during the day. Interpret each of the intervals in the context of this data situation.
(a) The 95% confidence interval for the mean response.
(b) The 95% prediction interval for the response.


Exercise 9.18

Data A.1 on page 136 introduces a study that examines the effect of light at night on weight gain in a sample of 27 mice observed over a fourweek period. The mice who had a light on at night gained significantly more weight than the mice with darkness at night, despite eating the same number of calories and exercising the same amount. Researchers noticed that the mice with light at night ate a greater percentage of their calories during the day (when mice are supposed to be sleeping). The computer output shown below allows us to examine the relationship between percent of calories eaten during the day, DayPct, and body mass gain in grams, BM Gain. A scatterplot with regression line is shown in Figure 9.8.

Pearson correlation of BMGain and DayPct = 0.740 P-Value = 0.000 The regression equation is BMGain = 1.11 + 0.127 DayPct

Figure 9.8

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Statistics Unlocking The Power Of Data

ISBN: 9780470601877

1st Edition

Authors: Robin H. Lock, Patti Frazer Lock, Kari Lock Morgan, Eric F. Lock, Dennis F. Lock

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