Variables Entered/Removeda Variables Variables Model Entered Removed Method Jewish, Enter Education, Sex, Protestant, Catholic a. Dependent Variable: Income b. All requested variables entered Model Summary Adjusted R Std. Error of the Model R R Square Square Estimate 843a 711 655 8544.285 a. Predictors: (Constant), Jewish, Education, Sex, Protestant, Catholic ANOVAa Model Sum of Squares di Mean Square Sig. Regression 4667402284.70 933480456.941 12.787 000b Residual 1898125140.79 26 73004813.107 Total 6565527425.50 31 a. Dependent Variable: Income b. Predictors: (Constant), Jewish, Education, Sex, Protestant, Catholic Coefficients Standardized Unstandardized Coefficients Coefficients Model Std. Error Beta Sig. (Constant) 16444.980 7157.633 2.298 .030 Education 2542.024 360.242 .762 7.056 .000 Sex 4182.256 3078.914 .146 -1.358 .186 Catholic -747.924 4333.395 .023 ..173 .864 Protestant 6738.101 4287.304 -.204 -1.572 128 Jewish 2872.390 4278.072 .087 .671 .508 a. Dependent Variable: Income Questions 1. Interpret the unstandardized betas for all the independent variables and the intercept - Interpreting for the coefficient is that people with more education make more. By adding the sex variable suggests that whether the respondent is male or female does not change based on income to education level 2. Interpret the R2 for the overall model - Constant Education is .632 when added Sex which is .648, the variable slightly increase. 3. What is the adjusted R2 for the model? The adjusted R2 for Education is: .619 and for Education and Sex is: .623 4. What variable has the greatest relative impact among the independent variables (the largest standardized beta coefficient)? The variable that has the greatest is Education which is .795Assignment 2 Nedra Salmon Your license will expire in 9 days. NEW FILE. DATASET NAME DataSet1 WINDOW=FRONT. SAVE OUTFILE=' \\ \\Client \\C$ \\Untitled2 . sav' / COMPRESSED . SAVE OUTFILE=' \\ \\Client \\F$\\SPSS Study for Sex, and religion. sav' / COMPRESSED. REGRESSION /MISSING LISTWISE STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN ( . 05) POUT ( . 10) NOORIGIN /DEPENDENT Income /METHOD=ENTER Education Sex Catholic Protestant Jewish. Regression Notes Output Created 22-SEP-2021 20:45:49 Comments Input Data \\\\Client\\F$\\SPSS Study for Sex, and religion.sav Active Dataset DataSet1 Filter Weight Split File N of Rows in Working Data 32 File Missing Value Handling Definition of Missing User-defined missing values are treated as missing Cases Used Statistics are based on cases with no missing values for any variable used. Syntax REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN DEPENDENT Income /METHOD=ENTER Education Sex Catholic Protestant Jewish. Resources Processor Time 00:00:00.03 Elapsed Time 00:00:00.03 Memory Required 4768 bytes Additional Memory Required 0 bytes for Residual Plots [DataSet]] \\ \\Client\\F$\\SPSS Study for Sex, and religion. sav