could use some help with the question, I'm so confused.

+ Regression Variables Entered/Removed Variables Variables Model Entered Removed Method AGE OF Enter RESPONDEN a. Dependent Variable: RESPONDENT INCOME IN CONSTANT DOLLARS b. All requested variables entered. Model Summary Adjusted R Std. Error of Model R R Square Square the Estimate 1 190 036 035 28596.935 a. Predictors: (Constant), AGE OF RESPONDENT ANOVA Sum of Model Squares df Mean Square F Sig. Regression 3.645E+10 3.645E+10 44.571 <.001 residual total a. dependent variable: respondent income in constant dollars b. predictors: age of coefficients standardized unstandardized model b std. error beta sig :.001 dollars11 run a simple linear regression using conrinc as the variable and entering independent variable. what does output reveal to you about how impacts sure that your interpretation follows stande for bivariate covered lab tutorial video.>