Question

Use the following SPSS output to answer the six questions beneath the output. Regression Variables Entered/Removed Model Variables Entered Variables Removed Method 1 AGE - Age of respondent, EDUC - Highest year of school completed Enter a. Dependent Variable: RINCOM16 - Respondents income b. All requested variables entered. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .344a .118 .117 5.727 a. Predictors: (Constant), AGE - Age of respondent, EDUC - Highest year of school completed Coefficients Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 3.183 .826 3.852 .000 EDUC - Highest year of school completed .637 .049 .301 12.887 .000 AGE - Age of respondent .067 .010 .156 6.689 .000 Dependent Variable: RINCOM16 - Respondents income Write out the ordinary least-squares regression equation. Interpret the unstandardized partial slope coefficients. Write out the standardized least-squares regression equation. Interpret the standardized partial slope coefficients. Interpret R square. Which independent variable has the stronger effect on respondents' income? How did you determine the answer? NOTE: RINCOM16 is measured in 26 ordinal categories (1 = under $1k per year, 26 = $170k or more per year); EDUC is measured in years of schooling completed (0-20); AGE is measured in years (18-89+).

          Use the following SPSS output to answer the six questions beneath the output.

Regression
Variables Entered/Removed
Model
Variables Entered
Variables Removed
Method
1
AGE - Age of respondent, EDUC - Highest year of school completed
Enter
a. Dependent Variable: RINCOM16 - Respondents income
b. All requested variables entered.

Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
.344a
.118
.117
5.727
a. Predictors: (Constant), AGE - Age of respondent, EDUC - Highest year of school completed

Coefficients
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
3.183
.826
3.852
.000
EDUC - Highest year of school completed
.637
.049
.301
12.887
.000
AGE - Age of respondent
.067
.010
.156
6.689
.000
Dependent Variable: RINCOM16 - Respondents income

Write out the ordinary least-squares regression equation.
Interpret the unstandardized partial slope coefficients.
Write out the standardized least-squares regression equation.
Interpret the standardized partial slope coefficients.
Interpret R square.
Which independent variable has the stronger effect on respondents' income? How did you determine the answer?

NOTE: RINCOM16 is measured in 26 ordinal categories (1 = under $1k per year, 26 = $170k or more per year); EDUC is measured in years of schooling completed (0-20); AGE is measured in years (18-89+).

Added by Robert B.

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