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You are hired by NASA to help decide on the optimal payload of edibles on the next space flight. You collect data on a sample of astronaut trainees and run a multiple regression analysis to predict daily caloric intake given an individual's height, weight, age and gender.

You get some odd results and realize that the correlation between height and weight in your sample is 0.97.

This is an example of what possible pitfall of multiple regression?

A

Bias

B

Autocorrelation

C

Homoscedasticity

D

Collinearity

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