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GET FILE='C:\Documents and Settings\user\Desktop\base_doc_3.sav'. DESCRIPTIVES VARIABLES=X Y /STATISTICS=MEAN SUM STDDEV VARIANCE SEMEAN .
Descriptives
|
Descriptive
Statistics
|
|
|
|
N
|
Sum
|
Mean
|
Std. Deviation
|
Variance
|
|
|
Statistic
|
Statistic
|
Statistic
|
Std. Error
|
Statistic
|
Statistic
|
|
|
X
|
10
|
40
|
4,00
|
,730
|
2,309
|
5,333
|
|
|
Y
|
10
|
76
|
7,60
|
,400
|
1,265
|
1,600
|
|
|
Valid N (listwise)
|
10
|
|
|
|
|
|
|
CORRELATIONS /VARIABLES=X Y /PRINT=TWOTAIL NOSIG /STATISTICS DESCRIPTIVES XPROD /MISSING=PAIRWISE .
Correlations
|
Descriptive Statistics
|
|
|
Mean
|
Std. Deviation
|
N
|
|
X
|
4,00
|
2,309
|
10
|
|
Y
|
7,60
|
1,265
|
10
|
|
Correlations
|
|
|
|
X
|
Y
|
|
X
|
Pearson Correlation
|
1
|
,647(*)
|
|
Sig. (2-tailed)
|
|
,043
|
|
Sum of Squares and Cross-products
|
48,000
|
17,000
|
|
Covariance
|
5,333
|
1,889
|
|
N
|
10
|
10
|
|
Y
|
Pearson Correlation
|
,647(*)
|
1
|
|
Sig. (2-tailed)
|
,043
|
|
|
Sum of
Squares and Cross-products
|
17,000
|
14,400
|
|
Covariance
|
1,889
|
1,600
|
|
N
|
10
|
10
|
|
* Correlation is significant at
the 0.05 level (2-tailed).
|
REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Y /METHOD=ENTER X /SAVE PRED RESID .
Regression
|
Variables Entered/Removed(b)
|
|
Model
|
Variables Entered
|
Variables Removed
|
Method
|
|
1
|
X(a)
|
.
|
Enter
|
|
a All requested variables entered.
|
|
b Dependent Variable: Y
|
|
Model Summary(b)
|
|
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
|
1
|
,647(a)
|
,418
|
,345
|
1,023
|
|
a Predictors: (Constant), X
|
|
b Dependent Variable: Y
|
|
ANOVA(b)
|
|
Model
|
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
6,021
|
1
|
6,021
|
5,748
|
,0433(a)
|
|
Residual
|
8,379
|
8
|
1,047
|
|
|
|
Total
|
14,400
|
9
|
|
|
|
|
a Predictors: (Constant), X
|
|
b Dependent Variable: Y
|
|
Coefficients(a)
|
|
|
Model
|
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
|
|
B
|
Std. Error
|
Beta
|
|
|
1
|
(Constant)
|
6,183
|
,674
|
|
9,178
|
,0000
|
|
|
X
|
,354
|
,148
|
,647
|
2,398
|
,0433
|
|
|
a Dependent Variable: Y
|
|
|
Residuals
Statistics(a)
|
|
|
Minimum
|
Maximum
|
Mean
|
Std. Deviation
|
N
|
|
Predicted Value
|
6,537
|
9,371
|
7,600
|
,818
|
10
|
|
Residual
|
-1,308
|
1,754
|
,000
|
,965
|
10
|
|
Std. Predicted Value
|
-1,299
|
2,165
|
,000
|
1,000
|
10
|
|
Std. Residual
|
-1,278
|
1,714
|
,000
|
,943
|
10
|
|
a Dependent Variable: Y
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GRAPH /SCATTERPLOT(BIVAR)=X WITH Y BY ID (IDENTIFY) /MISSING=LISTWISE .
Graph
|