Question 22 Using the regression output from Excel from an observational study predicting depression from gender and age (below), how much of the variance in depression is explained by this model? SUMMARY OUTPUT from linear regression predicting depression from age and gender Regression Statistics Multiple R 0.398 R Square 0.159 ANOVA MS Significance F Regression 603.674 301.837 5.847 0.005 Residual 3200.3 8B 51.619 Total 3804.062 Coefficients Sed Error t Stot P.value Intercept 15.GO0 3.032 5.145 0.000 Age 0.050 0.070 0.707 0.487 Female 5.923 1789 3.310 0.002 a 39.8% b. 15.9% 0. 5.8% d. 5,1% 0 0.005