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 Dataset on Buying Coffee Household Income of Members of Household Zip Code Month 1 purchase behavior (1 Yes, 0 No) Month 2 purchase behavior (1 Yes, 0 No) Specify a logistic regression model (i e articulate what the dependent and independent variables are) that captures a households coffee purchase behavior Explain why your model is reasonable What additional data might you need to develop a better model How would you convert this model into a linear regression model while preserving the original objective of understanding coffee purchase behavior

Question: 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

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.

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

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?
How would you convert this model into a linear regression model while preserving the original objective of understanding coffee purchase behavior?

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