Please explain and interpret the following tables

7. Regress BDI on Gender, Age, Reason for those who had surgery (Surgery = 1). Define and discuss the explanatory power of the model. What is the significance and meaning of each estimated coefficient? Model Summary Adjusted R Std. Error of the Model R R Square Square Estimate 900 811 .806 6.031 a. Predictors: (Constant), Gender, Age, Reason for Surgery ANOVA Model Sum of Squares of Mean Square F Sig. Regression 19786.003 3 8595.334 181.323 Residual 4619.432 127 36.373 Total 24405.435 130 a. Dependent Variable: Beck Depression Inventory b. Predictors: (Constant), Gender, Age, Reason for Surgery Coefficientsa Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta Sig Constant 29.414 2.957 9.946 DO0 Age 274 073 190 3.768 000 Reason for Surgery -17.344 1.580 -.577 -10.980 000 Gender -13.430 1.775 -484 -7.567 000 a. Dependent Variable: Beck Depression Inventory