GET
 FILE='C:\Documents and Settings\user\Desktop\Curso AMN\amn\dados_uti\exer_E_DA
 TA.sav'.
* Regressão agregada (Table 2.4, p. 28) / Output 2a - Null model.
AGGREGATE
 /OUTFILE='C:\Documents and Settings\user\Desktop\dados_agreg.sav'
 /BREAK=schid
 /homework_mean = MEAN(homework) /math_mean = MEAN(math)
 /N=N.
GET
 FILE='C:\Documents and Settings\user\Desktop\dados_agreg.sav'.
LIST.

List

 
 schid homework_mean math_mean N
 
 1 1,39 45,74 23
 2 2,35 42,15 20
 3 1,83 53,25 24
 4 1,64 43,55 22
 5 ,86 49,86 22
 6 1,15 46,40 20
 7 3,30 62,82 67
 8 2,10  49,67 21
 9 1,33 46,33 21
 10 1,60 47,85 20
 
 
Number of cases read: 10 Number of cases listed: 10

 
UNIANOVA
 math_mean
 /REGWGT = N
 /METHOD = SSTYPE(3)
 /INTERCEPT = INCLUDE
 /PRINT = DESCRIPTIVE PARAMETER
 /CRITERIA = ALPHA(.05) .

Univariate Analysis of Variance

Descriptive Statistics(a) Dependent Variable: math_mean
Mean	Std. Deviation	N
51,3000	39,48352	10
a Weighted Least Squares Regression - Weighted by N

Tests of Between-Subjects Effects(b) Dependent Variable: math_mean
Source	Type III Sum of Squares	df	Mean Square	F	Sig.
Corrected Model	,000(a)	0	.	.	.
Intercept	684239,400	1	684239,400	438,911	,000
Error	14030,536	9	1558,948
Total	698269,936	10
Corrected Total	14030,536	9
a R Squared = ,000 (Adjusted R Squared = ,000)
b Weighted Least Squares Regression - Weighted by N

Parameter Estimates(a) Dependent Variable: math_mean
Parameter	B	Std. Error	t	Sig.	95% Confidence Interval
					Lower Bound	Upper Bound
Intercept	51,300	2,449	20,950	,000	45,761	56,839
a Weighted Least Squares Regression - Weighted by N

 
* Regressão agregada (Table 2.4, p. 28) / Output 2b - With homework.
REGRESSION
 /MISSING LISTWISE
 /REGWGT=N
 /STATISTICS COEFF OUTS R ANOVA
 /CRITERIA=PIN(.05) POUT(.10)
 /NOORIGIN
 /DEPENDENT math_mean
 /METHOD=ENTER homework_mean .

Regression

Variables Entered/Removed(b,c)
Model	Variables Entered	Variables Removed	Method
1	homework_mean(a)	.	Enter
a All requested variables entered.
b Dependent Variable: math_mean
c Weighted Least Squares Regression - Weighted by N

Model Summary
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate
1	,801(a)	,642	,597	25,06887
a Predictors: (Constant), homework_mean

ANOVA(b,c)
Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	9002,948	1	9002,948	14,326	,005(a)
	Residual	5027,587	8	628,448
	Total	14030,536	9
a Predictors: (Constant), homework_mean
b Dependent Variable: math_mean
c Weighted Least Squares Regression - Weighted by N

Coefficients(a,b)
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.
		B	Std. Error	Beta
1	(Constant)	37,109	4,059		9,142	,000
	homework_mean	7,015	1,853	,801	3,785	,005
a Dependent Variable: math_mean
b Weighted Least Squares Regression - Weighted by N