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.
Model  Variables Entered  Variables Removed  Method 

1  Reported Weight(a)  .  Enter 
a All requested variables entered.  
b Dependent Variable: Measured Weight 
Model  R  R Square  Adjusted R Square  Std. Error of the Estimate 

1  .955(a)  .912  .911  2.057 
a Predictors: (Constant), Reported Weight 
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 

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.
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 highschool 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  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 highschool graduates 
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 highschool graduates  
b Dependent Variable: Percent of raters in NORC study rating occupation as excellent or good in presti 

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 highschool 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).
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 highschool 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  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 highschool graduates 
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 highschool 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 highschool graduates.  
d Dependent Variable: Percent of raters in NORC study rating occupation as excellent or good in presti 

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 highschool graduates  .546  .098  .516  5.555  .000  
a Dependent Variable: Percent of raters in NORC study rating occupation as excellent or good in presti 

Beta In  t  Sig.  Partial Correlation  Collinearity Statistics  

Model  Tolerance  
1  Percent of males in occupation in 1950 who were highschool 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 