The following R output shows the multiple regression model using anxiety level, severity of the illness, and age group as predictors.

Call: Im(formula = satisfaction ~ anxiety + severity + AgeGroup, data = patients) Residuals : Min 1Q Median 30 Max -22. 0743 -7.8125 0. 8557 6. 6410 19.0819 Coefficients : Estimate Std. Error t value Pr(>Itl) (Intercept) 141 . 8124 20 . 5314 6. 907 2. 23e-08 *** anxiety -21 . 6938 7. 1021 -3. 055 0. 003951 * * severity -0. 4131 0. 5239 -0. 789 0. 434890 AgeGroupage35-49 -14.9231 3. 5619 -4. 190 0. 000145 *** AgeGroupage50-64 -22. 8976 5.6766 -4. 034 0. 000233 ** * Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '. ' 0.1 ' ' 1 Residual standard error: 10.53 on 41 degrees of freedom Multiple R-squared: 0.6602, Adjusted R-squared: 0.6271 F-statistic: 19.92 on 4 and 41 DF, p-value: 3.567e-09