Use technology and the data in LightatNight to predict body mass gain in mice, BMGain, over a

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Use technology and the data in LightatNight to predict body mass gain in mice, BMGain, over a fourweek experiment based on stress levels measured in Corticosterone, percent of calories eaten during the day (most mice in the wild eat all calories at night) DayPct, average daily consumption of food in grams Consumption, and activity level Activity.
(a) Interpret the coefficient of DayPct in context.
(b) Interpret the coefficient of Consumption in context.
(c) Which variable is most significant in this model?
(d) Which variable is least significant in this model?
(e) According to the ANOVA table, is the model effective at predicting body mass gain of mice in this situation?
(f) Interpret R2 for this model.

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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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