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)

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

I don't know what my dependent variable would be in a linear regression model!