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Need help on trying to figure out a 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 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, o: No)
Month 2 purchase behavior (1: yes, o: No)
a. 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?
b. 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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