Linear Regression Model Summary - Age 1. a. Linear Regression What is the regression equation for the effect of age on PHQ-9 scores? Write your regression results in APA format. b. For someone whose age is 27, what is their predicted PHQ-9 score? What is a potential confounding variable that could have an effect on the relationship between age and depression (i.e., PHQ-9 score)? Model R R Adjusted R RMSE Ho 0.000 0.000 H 0.226 0.051 0.000 0.038 17.400 17.065 C. ANOVA Model Sum of Squares df Mean Square F p H Regression Residual 4622.212 4 85903.185 295 1155.553 291.197 3.968 0.004 Total 90525.397 299 Note. The intercept model is omitted, as no meaningful information can be shown. Coefficients Model Ho (Intercept) H (Intercept) PHQ9_cat (Moderate Depressive Symptoms) PHQ9_cat (Moderately-Severe Depressive Symptoms) PHQ9_cat (No Depressive Symptoms) PHQ9_cat (Severe Depressive Symptoms) Unstandardized Standard Error Standardized t P 47.303 1.005 47.087 < .001 50.559 2.927 17.276 < .001 -4.250 3.723 -1.142 0.255 -4.112 3.710 -1.108 0.269 -9.095 3.576 -2.544 0.011 1.337 3.457 0.387 0.699 Standardized coefficients can only be computed for continuous predictors.