Descriptive
Statistics
|
|||
|
Mean
|
Std. Deviation
|
N
|
y
|
3.7938
|
.60515
|
65
|
x
|
3.7738
|
.54737
|
65
|
Correlations
|
|||
|
|
y
|
x
|
Pearson Correlation
|
y
|
1.000
|
.505
|
x
|
.505
|
1.000
|
|
Sig. (1-tailed)
|
y
|
.
|
.000
|
x
|
.000
|
.
|
|
N
|
y
|
65
|
65
|
x
|
65
|
65
|
Variables
Entered/Removedb
|
|||
Model
|
Variables Entered
|
Variables Removed
|
Method
|
1
|
xa
|
.
|
Enter
|
a. All requested variables entered.
|
|||
b. Dependent Variable: y
|
Model Summary
|
||||
Model
|
|
|||
R
|
R Square
|
Adjusted R Square
|
Std. Error of the
Estimate
|
|
1
|
.505a
|
.255
|
.243
|
.52639
|
a. Predictors: (Constant), x
|
Model Summary
|
|||||
Model
|
Change Statistics
|
||||
R Square Change
|
F Change
|
df1
|
df2
|
Sig. F Change
|
|
1
|
.255
|
21.587
|
1
|
63
|
.000
|
|
ANOVAb
|
||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
5.981
|
1
|
5.981
|
21.587
|
.000a
|
Residual
|
17.456
|
63
|
.277
|
|
|
|
Total
|
23.438
|
64
|
|
|
|
|
a. Predictors: (Constant), x
|
||||||
b.
Dependent Variable: y
|
Coefficientsa
|
||||||
Model
|
Unstandardized
Coefficients
|
Standardized
Coefficients
|
|
|||
B
|
Std. Error
|
Beta
|
t
|
Sig.
|
||
1
|
(Constant)
|
1.686
|
.458
|
|
3.679
|
.000
|
x
|
.559
|
.120
|
.505
|
4.646
|
.000
|
|
a.
Dependent Variable: y
|
Coefficientsa
|
||||||
Model
|
Correlations
|
Collinearity
Statistics
|
||||
Zero-order
|
Partial
|
Part
|
Tolerance
|
VIF
|
||
1
|
x
|
.505
|
.505
|
.505
|
1.000
|
1.000
|
a. Dependent Variable: y
|
||||||
Collinearity
Diagnosticsa
|
|||||
Model
|
Dimension
|
|
Variance
Proportions
|
||
Eigenvalue
|
Condition Index
|
(Constant)
|
x
|
||
1
|
1
|
1.990
|
1.000
|
.01
|
.01
|
2
|
.010
|
13.968
|
.99
|
.99
|
|
a. Dependent Variable: y
|
0 comments:
Post a Comment
Note: Only a member of this blog may post a comment.