tudy Section 8.2 of the textbook with a focus on comparing Binary and Binomial logistic regressions, one-predictor and multiple-predictor cases. Use the data from Michelin and Zagat guides to NYC restaurants to answer the following: (a) When using food rating as the predictor, do you think the regression coefficient estimates using binary and binomial distributions should be different? How about their interpretations? What is the meaning of 1 when the binary distribution is used? (b) For the model (8.4) in p. 289, what are the meaning of 1 and 2?