Objective

 

Use Linear models to identify drivers of satisfaction outcomes. It can be used in satisfaction driver analysis, advertising response modeling, customer retention(churn) modeling and pricing analysis. In this case, the model is applied to satisfaction driver analysis and to understand what reasons are behind the satisfactory scores. 

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Dataset Summary

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A satisfaction drivers analysis is conducted using survey data for customers who have visited an amusement park. In the survey, respondents report their levels of satisfaction with different aspects of their experience, and their overall satisfaction. The survey measures: 

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1. whether the respondent visited on a weekend

2. the number of children brought

3. distance traveled to the park

4. expressed satisfaction overall

5. satisfaction with the rides, games, waiting time, and cleanliness

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Content

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1. Simulate Survey Data

2. Fit a linear model with one predictor.

3. Fit a linear model with multiple predictors.

4. Fit a Bayesian linear model. 

5. Compare model performance.

6. Use the better-fit model to make predictions.

7. Marketing decision based on prediction results. 

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Tools

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R + RStudio

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Library

 

library(gpairs)

library(corrplot)

library(coefplot)

library(MCMCpack)

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