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I. True/False/Uncertain - Briefly explain. No credit without an explanation (5 marks each).PLEASE PROVIDE AN EXPALANATION 1. If the p-value=0.06 of testing Poisson vs. Negative

I. True/False/Uncertain - Briefly explain. No credit without an explanation (5 marks each).PLEASE PROVIDE AN EXPALANATION

1. If the p-value=0.06 of testing Poisson vs. Negative Binomial model with the 2 1 distribution, one should use the Poisson model.

2. With all observations in the same cluster, RSQ = 1.

3. With 500 multiple imputation samples generating 500 predictions of 0 or 1 for the binary dependent variable for each observation, to combine the 500 predictions into one for each observation, one has to take the mean of all 500 predictions and use a cutoff of 50%

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