Buying coffee Below is a dataset on household purchase behavior for a particular coffee brand for two consecutive months. The data has been normalized to the extent that each purchase instance is for one packet of a standard coffee size.

Household Income	# of Members of Household	Zip Code	Month 1 purchase behavior (1: Yes, 0: No)	Month 2 purchase behavior (1: Yes, 0: No)

1. Specify a logistic regression model (i.e. articulate what the dependent and independent variables are) that captures a household's coffee purchase behavior. Explain why your model is reasonable. What additional data might you need to develop a better model?
2. How would you convert this model into a linear regression model while preserving the original objective of understanding coffee purchase behavior?