Below is a dataset on household purchase behavior for a particular coffee brand for two consecutive months.
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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.
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?
Related Book For
Mathematical Statistics with Applications in R
ISBN: 978-0124171138
2nd edition
Authors: Chris P. Tsokos, K.M. Ramachandran
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