REGRESSION
/DESCRIPTIVES MEAN STDDEV CORR SIG N
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA COLLIN TOL CHANGE ZPP
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT x2
/METHOD=ENTER y
/RESIDUALS DURBIN.
Regression
Notes
Output Created
16-OCT-2014 23:09:55
Comments
Input
Active Dataset
DataSet0
Filter
Weight
Split File
N of Rows in Working Data File
15
Missing Value Handling
Definition of Missing
User-defined missing values are treated as missing.
Cases Used
Statistics are based on cases with no missing values for any
variable used.
Syntax
REGRESSION
/DESCRIPTIVES MEAN STDDEV CORR SIG N
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA COLLIN TOL CHANGE ZPP
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT x2
/METHOD=ENTER y
/RESIDUALS DURBIN.
Resources
Processor Time
00:00:00.11
Elapsed Time
00:00:00.23
Memory Required
1380 bytes
Additional Memory Required for Residual Plots
0 bytes
Descriptive Statistics
Mean
Std. Deviation
N
x2
78.13
6.034
15
y
86.93
4.301
15
Correlations
x2
y
Pearson Correlation
x2
1.000
.980
y
.980
1.000
Sig. (1-tailed)
x2
.
.000
y
.000
.
N
x2
15
15
y
15
15
Variables Entered/Removeda
Model
Variables Entered
Variables Removed
Method
1
yb
.
Enter
a. Dependent Variable: x2
b. All requested variables entered.
Model Summaryb
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
Change Statistics
R Square Change
F Change
1
.980a
.961
.958
1.238
.961
319.783
Model Summaryb
Model
Change Statistics
df1
df2
Sig. F Change
1
1
13
.000
1.012
a. Predictors: (Constant), y
b. Dependent Variable: x2
ANOVAa
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
489.821
1
489.821
319.783
.000b
Residual
19.912
13
1.532
Total
509.733
14
a. Dependent Variable: x2
b. Predictors: (Constant), y
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
-41.434
6.694
-6.190
.000
y
1.375
.077
.980
17.882
.000
Coefficientsa
Model
Correlations
Collinearity Statistics
Zero-order
Partial
Part
Tolerance
VIF
1
(Constant)
y
.980
.980
.980
1.000
1.000
a. Dependent Variable: x2
Collinearity Diagnosticsa
Model
Dimension
Eigenvalue
Condition Index
Variance Proportions
(Constant)
y
1
1
1.999
1.000
.00
.00
2
.001
41.871
1.00
1.00
a. Dependent Variable: x2
Residuals Statisticsa
Minimum
Maximum
Mean
Std. Deviation
N
Predicted Value
68.60
86.48
78.13
5.915
15
Residual
-2.850
1.523
.000
1.193
15
Std. Predicted Value
-1.612
1.411
.000
1.000
15
Std. Residual
-2.302
1.230
.000
.964
15
a. Dependent Variable: x2
