SPENDING (response) Amount spent by customer in test mailing (in dollars)Use SAS for the analysis. Copy and paste the output nicely. Partition the 1000 records into training and validation datasets. The first 800 observations are to be used for model estimation/training. Run a multiple linear regression model (refer to this as MODEL 1) of SPENDING vs. LAST_UPDATE, WEB, GENDER, ADDRESS_RES and ADDRESS_RES. Interpret the results. Add FREQ to the MODEL 1 of spending (refer to this as MODEL 2). Interpret the results. Which model is better? Why? Evaluate the predictive accuracy of the two models by examining the performance on the validation dataset. Hint: Use RMSE. Based on the best model, what type of customer is most likely to generate more revenue?
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