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Logistic Regression in Buying Outcome Prediction

Objective
 

Use logistic regression to predict whether a consumer will accept for one offer or not. The questions to be answered is: are customers more likely to purchase the season pass when it is offered in the bundle (with free parking), or not?

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Dataset Summary

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The dataset variables include: 

  • Communication Channel, through Mail, Park or Email

  • Promotion Option: Bundle offer or No-Bundle offer

  • Parking Pass: with parking pass or not.

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Content

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  1. Clean dataset.

  2. Fit a logistics regression model (GLM). 

  3. Visualize the table. 

  4. Model selection.

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Tools

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R + RStudio

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Library

 

library(vcdExtra)

library(vcd)

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Crystal Wang @ 2017

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