These are the results from running the Multiple Linear Regression in SAS Studio Code I used: proc reg data=WORK.IMPORT;

model churn=age address;

run;

\fModel: MODEL1 Dependent Variable: churn churn Number of Observations Read 1000 Number of Observations Used 1000 Analysis of Variance Sum of Mean Source OF Squares Square F Value Pr >> F Model 2 14.75708 7.37890 30.95 <.0001 error corrected total root mse r-square dependent mean adj r-sq coeff var parameter estimates standard variable label of estimate t value pr> It Intercept Intercept 0.58539 0.05080 11.52 <.0001 abe age address>