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Specify a logistic regression model

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Reference no: EM132906186

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?

Reference no: EM132906186

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