Database Analytics using Multiple Regression
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The EMMA dataset program was previously used to build a simple regression model that predicts Total customer value (Y) from Tenure (X). . .
1. Revise your regression model to predict customer value from a simple regression model to a multiple regression model by using TENURE, AGE, ORDERS as your predictors (If using Excel, these columns will need to become adjacent to each other)
2 .Note that one of the three predictors is not a statistically significant predictor (How do you determine which one?).
3 .Adjust the model* so that it includes only the two variables that are statistically significant
4 .What is the equation of your final multiple regression model with the two predictors?
5 .What is the predicted value for a 25 year old, that has placed 2 orders?
6 .What is the goodness of fit measure for your model? Is it a good model?
7. For a large scale email marketing campaign and using the EMMA data as an example what type of information would be in
a) Fact Tables?
b) Dimension Tables?
c) When would might you need the use of Bridge Tables?
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