SPSS Textbook Examples
Applied Regression Analysis by John Fox
Chapter 6: Statistical inference for
regression
page 117 The standard errors and confidence
intervals for a and b.
GET FILE='D:\davis.sav'.
if subject=12 measwt=57.
if subject=12 measht=166.
execute.
USE ALL.
COMPUTE filter_$=(female=1).
VARIABLE LABEL filter_$ 'female=1 (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMAT filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.
REGRESSION
/STATISTICS COEFF OUTS CI R ANOVA
/DEPENDENT measwt
/METHOD=ENTER reptwt.
Variables Entered/Removed(b)
| Model |
Variables Entered |
Variables Removed |
Method |
|---|
| 1 |
Reported Weight(a) |
. |
Enter |
|---|
| a All requested variables entered. |
| b Dependent Variable: Measured Weight
|
Model Summary
| Model |
R |
R Square |
Adjusted R Square |
Std. Error of the Estimate |
|---|
| 1 |
.955(a) |
.912 |
.911 |
2.057 |
|---|
| a Predictors: (Constant), Reported Weight
|
ANOVA(b)
| Model |
Sum of Squares |
df |
Mean Square |
F |
Sig. |
|---|
| 1 |
Regression |
4334.889 |
1 |
4334.889 |
1024.544 |
.000(a) |
|---|
| Residual |
418.873 |
99 |
4.231 |
|
|
|---|
| Total |
4753.762 |
100 |
|
|
|
|---|
| a Predictors: (Constant), Reported Weight |
| b Dependent Variable: Measured Weight
|
Coefficients(a)
|
Unstandardized Coefficients |
Standardized Coefficients |
t |
Sig. |
95% Confidence Interval for B |
|---|
| Model |
B |
Std. Error |
Beta |
Lower Bound |
Upper Bound |
|---|
| 1 |
(Constant) |
1.778 |
1.744 |
|
1.019 |
.311 |
-1.684 |
5.239 |
|---|
| Reported Weight |
.977 |
.031 |
.955 |
32.009 |
.000 |
.917 |
1.038 |
|---|
| a Dependent Variable: Measured Weight
|
page 122 The regression coefficients listed at the top of the page.
GET FILE='D:\duncan.sav'.
REGRESSION
/STATISTICS COEFF OUTS R ANOVA
/DEPENDENT prestige
/METHOD=ENTER educ income.
Variables Entered/Removed(b)
| Model |
Variables Entered |
Variables Removed |
Method |
|---|
| 1 |
Percent of males in occupation earning $3500 or more in 1950, Percent of males in occupation in 1950 who were high-school graduates(a) |
. |
Enter |
|---|
| a All requested variables entered. |
| b Dependent Variable: Percent of raters in NORC study rating occupation as excellent or good in presti
|
Model Summary
| Model |
R |
R Square |
Adjusted R Square |
Std. Error of the Estimate |
|---|
| 1 |
.910(a) |
.828 |
.820 |
13.369 |
|---|
| a Predictors: (Constant), Percent of males in occupation earning $3500 or more in 1950, Percent of males in occupation in 1950 who were high-school graduates
|
ANOVA(b)
| Model |
Sum of Squares |
df |
Mean Square |
F |
Sig. |
|---|
| 1 |
Regression |
36180.946 |
2 |
18090.473 |
101.216 |
.000(a) |
|---|
| Residual |
7506.699 |
42 |
178.731 |
|
|
|---|
| Total |
43687.644 |
44 |
|
|
|
|---|
| a Predictors: (Constant), Percent of males in occupation earning $3500 or more in 1950, Percent of males in occupation in 1950 who were high-school graduates |
| b Dependent Variable: Percent of raters in NORC study rating occupation as excellent or good in presti
|
Coefficients(a)
|
Unstandardized Coefficients |
Standardized Coefficients |
t |
Sig. |
|---|
| Model |
B |
Std. Error |
Beta |
|---|
| 1 |
(Constant) |
-6.065 |
4.272 |
|
-1.420 |
.163 |
|---|
| Percent of males in occupation in 1950 who were high-school graduates |
.546 |
.098 |
.516 |
5.555 |
.000 |
|---|
| Percent of males in occupation earning $3500 or more in 1950 |
.599 |
.120 |
.464 |
5.003 |
.000 |
|---|
| a Dependent Variable: Percent of raters in NORC study rating occupation as excellent or good in presti
|
page 125 The statistics in the middle of the page.
REGRESSION
/STATISTICS COEFF OUTS R ANOVA
/DEPENDENT prestige
/METHOD=ENTER income /method=test (educ).
Variables Entered/Removed(b)
| Model |
Variables Entered |
Variables Removed |
Method |
|---|
| 1 |
Percent of males in occupation earning $3500 or more in 1950(a) |
. |
Enter |
|---|
| 2 |
Percent of males in occupation in 1950 who were high-school graduates |
. |
Test |
|---|
| a All requested variables entered. |
| b Dependent Variable: Percent of raters in NORC study rating occupation as excellent or good in presti
|
Model Summary
| Model |
R |
R Square |
Adjusted R Square |
Std. Error of the Estimate |
|---|
| 1 |
.838(a) |
.702 |
.695 |
17.403 |
|---|
| 2 |
.910(b) |
.828 |
.820 |
13.369 |
|---|
| a Predictors: (Constant), Percent of males in occupation earning $3500 or more in 1950 |
| b Predictors: (Constant), Percent of males in occupation earning $3500 or more in 1950, Percent of males in occupation in 1950 who were high-school graduates
|
ANOVA(d)
| Model |
Sum of Squares |
df |
Mean Square |
F |
Sig. |
R Square Change |
|---|
| 1 |
Regression |
30664.844 |
1 |
30664.844 |
101.252 |
.000(a) |
|
|---|
| Residual |
13022.800 |
43 |
302.856 |
|
|
|
|---|
| Total |
43687.644 |
44 |
|
|
|
|
|---|
| 2 |
Subset Tests |
Percent of males in occupation in 1950 who were high-school graduates |
5516.101 |
1 |
5516.101 |
30.863 |
.000(b) |
.126 |
|---|
| Regression |
36180.946 |
2 |
18090.473 |
101.216 |
.000(c) |
|
|---|
| Residual |
7506.699 |
42 |
178.731 |
|
|
|
|---|
| Total |
43687.644 |
44 |
|
|
|
|
|---|
| a Predictors: (Constant), Percent of males in occupation earning $3500 or more in 1950 |
| b Tested against the full model. |
| c Predictors in the Full Model: (Constant), Percent of males in occupation earning $3500 or more in 1950, Percent of males in occupation in 1950 who were high-school graduates. |
| d Dependent Variable: Percent of raters in NORC study rating occupation as excellent or good in presti
|
Coefficients(a)
|
Unstandardized Coefficients |
Standardized Coefficients |
t |
Sig. |
|---|
| Model |
B |
Std. Error |
Beta |
|---|
| 1 |
(Constant) |
2.457 |
5.190 |
|
.473 |
.638 |
|---|
| Percent of males in occupation earning $3500 or more in 1950 |
1.080 |
.107 |
.838 |
10.062 |
.000 |
|---|
| 2 |
(Constant) |
-6.065 |
4.272 |
|
-1.420 |
.163 |
|---|
| Percent of males in occupation earning $3500 or more in 1950 |
.599 |
.120 |
.464 |
5.003 |
.000 |
|---|
| Percent of males in occupation in 1950 who were high-school graduates |
.546 |
.098 |
.516 |
5.555 |
.000 |
|---|
| a Dependent Variable: Percent of raters in NORC study rating occupation as excellent or good in presti
|
Excluded Variables(b)
|
Beta In |
t |
Sig. |
Partial Correlation |
Collinearity Statistics |
|---|
| Model |
Tolerance |
|---|
| 1 |
Percent of males in occupation in 1950 who were high-school graduates |
.516(a) |
5.555 |
.000 |
.651 |
.475 |
|---|
| a Predictors in the Model: (Constant), Percent of males in occupation earning $3500 or more in 1950 |
| b Dependent Variable: Percent of raters in NORC study rating occupation as excellent or good in presti
|
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