Download sav file Modules 3, 4, 5 Customer Lifetime Value Data Set from: https://www.kaggle.com/pankajjsh06/ibm-watson-marketing-customer-value-data

For this data analysis activity, the insurance company is analyzing the total claim amount to understand how customer profiles affect their claim behavior. The company wants to study whether income, number of policies, types of policies, coverage of policy, gender and marital status would affect the customer's total claim amount.

First, review the process presented in the Linear Regression with Dummy Variables video. For each nominal/ordinal scaled variable, you should independently decide one group as baseline group and create the dummy variables for the other groups defined by this nominal/ordinal scaled variable.

Next, use SPSS to conduct necessary analysis.

Summarize the analysis results.

Based on your analysis results, how would you make recommendations to the management?

Compare with analysis results of M3 Data Analysis Activity: T Test and ANOVA Test and M4 Data Analysis Activity: Linear Regression. Do you see any changes in the analysis results? Why? Are there any other factors you would like to add to your analysis? Why? Paste the screenshots of the SPSS outputs for linear regression.