q) Comment on the significance and sign of the coefficients for Monthly_Income, Gender, Goldcard,

Rewards, and Savings in the multiple regression model and if appropriate interpret the coefficients in the context of monthly credit card balances.

Data:

\fScatterplot Dependent Variable: Balance 6 4 o OO 2 Regression Standardized Residual o 0 O O -2 o -4 -2 -1 0 2 3 Regression Standardized Predicted ValueRegression Variables Entered/Removeda Variables Variables Model Entered Removed Method 1 Savings, Enter Rewards, Gender, Gold, Monthly_Inco me b a. Dependent Variable: Balance b. All requested variables entered. Model Summary" Adjusted R Std. Error of Model R R Square Square the Estimate 1 611 373 370 $861.988 a. Predictors: (Constant), Savings, Rewards, Gender, Gold, Monthly_Income b. Dependent Variable: Balance ANOVA Sum of Model Squares df Mean Square F Sig Regression 373512404.7 5 74702480.94 100.539 <.001 residual total a. dependent variable: balance b. predictors: savings rewards gender gold monthly_income coefficients standardized unstandardized model b std. error beta sig. .001 .236 .254 .073>