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?
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