Solution) Use SPSS to solve data analysis problem 2 a, b, in Chapter 21. Use 11ef tutorial. Variables Ent
Question: Use SPSS to solve data analysis problem 2 a, b, in Chapter 21. Use 11ef tutorial.
| Variables Entered/Removedb | |||
| Model | Variables Entered | Variables Removed | Method |
| 1 | HIGHEST YEAR SCHOOL COMPLETED, MOTHERa | . | Enter |
| a. All requested variables entered. | |||
| b. Dependent Variable: HIGHEST YEAR SCHOOL COMPLETED, FATHER | |||
| Model Summaryb | ||||
| Model | R | R Square | Adjusted R Square | Std. Error of the Estimate |
| 1 | .639a | .408 | .407 | 3.162 |
| a. Predictors: (Constant), HIGHEST YEAR SCHOOL COMPLETED, MOTHER | ||||
| b. Dependent Variable: HIGHEST YEAR SCHOOL COMPLETED, FATHER | ||||
| ANOVAb | ||||||
| Model | Sum of Squares | df | Mean Square | F | Sig. | |
| 1 | Regression | 6231.521 | 1 | 6231.521 | 623.457 | .000a |
| Residual | 9045.579 | 905 | 9.995 | |||
| Total | 15277.100 | 906 | ||||
| a. Predictors: (Constant), HIGHEST YEAR SCHOOL COMPLETED, MOTHER | ||||||
| b. Dependent Variable: HIGHEST YEAR SCHOOL COMPLETED, FATHER | ||||||
| Coefficientsa | ||||||||
| Model | Un-standardized Coefficients | Standardized Coefficients | t | Sig. | 95% Confidence Interval for B | |||
| B | Std. Error | Beta | Lower Bound | Upper Bound | ||||
| 1 | (Constant) | 2.572 | .367 | 7.009 | .000 | 1.852 | 3.292 | |
| HIGHEST YEAR SCHOOL COMPLETED, MOTHER | .760 | .030 | .639 | 24.969 | .000 | .701 | .820 | |
| a. Dependent Variable: HIGHEST YEAR SCHOOL COMPLETED, FATHER | ||||||||
| Residuals Statisticsa | |||||
| Minimum | Maximum | Mean | Std. Deviation | N | |
| Predicted Value | 2.57 | 17.78 | 11.35 | 2.623 | 907 |
| Std. Predicted Value | -3.348 | 2.450 | .000 | 1.000 | 907 |
| Standard Error of Predicted Value | .106 | .367 | .140 | .050 | 907 |
| Adjusted Predicted Value | 2.44 | 17.82 | 11.35 | 2.624 | 907 |
| Residual | -11.696 | 9.825 | .000 | 3.160 | 907 |
| Std. Residual | -3.699 | 3.108 | .000 | .999 | 907 |
| Stud. Residual | -3.701 | 3.110 | .000 | 1.001 | 907 |
| Deleted Residual | -11.709 | 9.838 | .000 | 3.167 | 907 |
| Stud. Deleted Residual | -3.728 | 3.125 | .000 | 1.002 | 907 |
| Mahal. Distance | .017 | 11.209 | .999 | 1.800 | 907 |
| Cook's Distance | .000 | .062 | .001 | .003 | 907 |
| Centered Leverage Value | .000 | .012 | .001 | .002 | 907 |
| a. Dependent Variable: HIGHEST YEAR SCHOOL COMPLETED, FATHER | |||||
Based on the regression equation developed in question 1, answer the following
a. What do you predict for an average father’s education for all people who have a mother with 12 years of education?
b. What do you predict for average father’s education for all people who have a mother with 12 years of education?
Price: $2.99
Solution: The solution consists of 3 pages
Type of Deliverable: Word Document
Type of Deliverable: Word Document
