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KQHQ 1

The document outlines a series of regression analyses conducted using a dataset saved in SPSS format. It includes details on the regression models for various dependent variables (F_CL, F_CE, F_PE) with F_AI as the predictor, along with statistical outputs such as R-squared values, ANOVA results, and coefficients. The analyses indicate significant relationships between the predictor and dependent variables, with various statistics provided for each model.

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baongoc.lcddlks.neu
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as XLSX, PDF, TXT or read online on Scribd
19 views35 pages

KQHQ 1

The document outlines a series of regression analyses conducted using a dataset saved in SPSS format. It includes details on the regression models for various dependent variables (F_CL, F_CE, F_PE) with F_AI as the predictor, along with statistical outputs such as R-squared values, ANOVA results, and coefficients. The analyses indicate significant relationships between the predictor and dependent variables, with various statistics provided for each model.

Uploaded by

baongoc.lcddlks.neu
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as XLSX, PDF, TXT or read online on Scribd
You are on page 1/ 35

DATASET ACTIVATE DataSet6.

SAVE OUTFILE='E:\NCKH 24-25\input chuan.sav'


/COMPRESSED.
DATASET ACTIVATE DataSet1.
DATASET CLOSE DataSet6.
GET
FILE='E:\NCKH 24-25\input chuan.sav'.
DATASET NAME DataSet7 WINDOW=FRONT.
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA COLLIN TOL
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT F_CL
/METHOD=ENTER F_AI
/SCATTERPLOT=(*ZRESID ,*ZPRED)
/RESIDUALS DURBIN HISTOGRAM(ZRESID) NORMPROB(ZRESID).

Regression

Notes
Output 20-MAR-2025 00:23:06
Created
Comments
Input Data E:\NCKH 24-
25\input
chuan.sav

Active DataSet7
Dataset
Filter <none>
Weight <none>
Split File <none>
N of Rows in 246
Working Data
File
Missing Value Definition of User-defined
Handling Missing missing
values are
treated as
missing.
Cases Used Statistics are
based on
cases with no
missing
values for any
variable used.

Syntax REGRESSIO
N
/MISSING
LISTWISE

/STATISTICS
COEFF
OUTS R
ANOVA
COLLIN TOL

/CRITERIA=P
IN(.05)
POUT(.10)
/NOORIGIN

/DEPENDEN
T F_CL

/METHOD=E
NTER F_AI

/SCATTERPL
OT=(*ZRESID
,*ZPRED)

/RESIDUALS
DURBIN
HISTOGRAM(
ZRESID)
NORMPROB(
ZRESID).

Resources Processor 00:00:00.72


Time
Elapsed Time 00:00:00.77

Memory 2860 bytes


Required
Additional 912 bytes
Memory
Required for
Residual Plots
[DataSet7] E:\NCKH 24-25\input chuan.sav

Variable
s
Entered/
Remove
da
Variables Variables
Model Entered Removed Method
1 F_AIb Enter
a. Dependent
Variable:
F_CL

b. All
requested
variables
entered.

Model
Summar
yb

Adjusted R Std. Error of Durbin-


Model R R Square Square the Estimate Watson
1 .399a 0.159 0.155 ### 2.047
a. Predictors:
(Constant),
F_AI

b. Dependent
Variable:
F_CL

ANOVAa
Sum of
Model Squares df Mean Square F Sig.
1 Regression 39.958 1 39.958 46.088 .000b

Residual 211.543 244 0.867


Total 251.501 245
a. Dependent
Variable:
F_CL

b. Predictors:
(Constant),
F_AI

Coefficie
ntsa
Unstandardiz
ed Standardized Collinearity
Model Coefficients Coefficients t Sig. Statistics
B Std. Error Beta Tolerance
1 (Constant) 1.876 0.260 7.209 0.000
F_AI 0.485 0.071 0.399 6.789 0.000 1.000
a. Dependent
Variable:
F_CL

Collinear
ity
Diagnost
icsa

Condition Variance
Model Eigenvalue Index Proportions
(Constant) F_AI
1 1 1.974 1.000 0.01 0.01
2 0.026 8.652 0.99 0.99
a. Dependent
Variable:
F_CL

Residual
s
Statistic
sa

Minimum Maximum Mean Std. Deviation N


Predicted ### ### ### ### 246
Value
Residual ### ### ### ### 246
Std. Predicted -2.658 1.744 0.000 1.000 246
Value

Std. Residual -2.395 2.661 0.000 0.998 246

a. Dependent
Variable:
F_CL

Charts
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA COLLIN TOL
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT F_CE
/METHOD=ENTER F_AI
/SCATTERPLOT=(*ZRESID ,*ZPRED)
/RESIDUALS DURBIN HISTOGRAM(ZRESID) NORMPROB(ZRESID).

Regression

Notes
Output 20-MAR-2025 00:23:34
Created
Comments
Input Data E:\NCKH 24-
25\input
chuan.sav

Active DataSet7
Dataset
Filter <none>
Weight <none>
Split File <none>
N of Rows in 246
Working Data
File
Missing Value Definition of User-defined
Handling Missing missing
values are
treated as
missing.

Cases Used Statistics are


based on
cases with no
missing
values for any
variable used.
Syntax REGRESSIO
N
/MISSING
LISTWISE

/STATISTICS
COEFF
OUTS R
ANOVA
COLLIN TOL

/CRITERIA=P
IN(.05)
POUT(.10)
/NOORIGIN

/DEPENDEN
T F_CE

/METHOD=E
NTER F_AI

/SCATTERPL
OT=(*ZRESID
,*ZPRED)

/RESIDUALS
DURBIN
HISTOGRAM(
ZRESID)
NORMPROB(
ZRESID).

Resources Processor 00:00:00.70


Time
Elapsed Time 00:00:00.62

Memory 2860 bytes


Required
Additional 912 bytes
Memory
Required for
Residual Plots

Variable
s
Entered/
Remove
da
Variables Variables
Model Entered Removed Method
1 F_AIb Enter
a. Dependent
Variable:
F_CE

b. All
requested
variables
entered.

Model
Summar
yb

Adjusted R Std. Error of Durbin-


Model R R Square Square the Estimate Watson
1 .480a 0.230 0.227 0.72980 1.429
a. Predictors:
(Constant),
F_AI

b. Dependent
Variable:
F_CE

ANOVAa
Sum of
Model Squares df Mean Square F Sig.
1 Regression 38.860 1 38.860 72.962 .000b

Residual 129.957 244 0.533


Total 168.817 245
a. Dependent
Variable:
F_CE

b. Predictors:
(Constant),
F_AI

Coefficie
ntsa

Unstandardiz
ed Standardized Collinearity
Model Coefficients Coefficients t Sig. Statistics
B Std. Error Beta Tolerance
1 (Constant) 1.645 0.204 8.066 0.000
F_AI 0.478 0.056 0.480 8.542 0.000 1.000
a. Dependent
Variable:
F_CE
Collinear
ity
Diagnost
icsa

Condition Variance
Model Eigenvalue Index Proportions
(Constant) F_AI
1 1 1.974 1.000 0.01 0.01
2 0.026 8.652 0.99 0.99
a. Dependent
Variable:
F_CE

Residual
s
Statistic
sa

Minimum Maximum Mean Std. Deviation N


Predicted 2.2827 4.0361 3.3415 0.39826 246
Value
Residual -1.88758 1.96729 0.00000 0.72831 246
Std. Predicted -2.658 1.744 0.000 1.000 246
Value

Std. Residual -2.586 2.696 0.000 0.998 246

a. Dependent
Variable:
F_CE

Charts

REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA COLLIN TOL
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT F_PE
/METHOD=ENTER F_AI
/SCATTERPLOT=(*ZRESID ,*ZPRED)
/RESIDUALS DURBIN HISTOGRAM(ZRESID) NORMPROB(ZRESID).
Regression

Notes
Output 20-MAR-2025 00:24:21
Created
Comments
Input Data E:\NCKH 24-
25\input
chuan.sav

Active DataSet7
Dataset
Filter <none>
Weight <none>
Split File <none>
N of Rows in 246
Working Data
File
Missing Value Definition of User-defined
Handling Missing missing
values are
treated as
missing.

Cases Used Statistics are


based on
cases with no
missing
values for any
variable used.
Syntax REGRESSIO
N
/MISSING
LISTWISE

/STATISTICS
COEFF
OUTS R
ANOVA
COLLIN TOL

/CRITERIA=P
IN(.05)
POUT(.10)
/NOORIGIN

/DEPENDEN
T F_PE

/METHOD=E
NTER F_AI

/SCATTERPL
OT=(*ZRESID
,*ZPRED)

/RESIDUALS
DURBIN
HISTOGRAM(
ZRESID)
NORMPROB(
ZRESID).

Resources Processor 00:00:00.66


Time
Elapsed Time 00:00:00.59

Memory 2860 bytes


Required
Additional 912 bytes
Memory
Required for
Residual Plots

Variable
s
Entered/
Remove
da
Variables Variables
Model Entered Removed Method
1 F_AIb Enter
a. Dependent
Variable:
F_PE

b. All
requested
variables
entered.

Model
Summar
yb

Adjusted R Std. Error of Durbin-


Model R R Square Square the Estimate Watson
1 .232a 0.054 0.050 0.65518 2.289
a. Predictors:
(Constant),
F_AI

b. Dependent
Variable:
F_PE

ANOVAa
Sum of
Model Squares df Mean Square F Sig.
1 Regression 5.976 1 5.976 13.922 .000b

Residual 104.740 244 0.429


Total 110.716 245
a. Dependent
Variable:
F_PE

b. Predictors:
(Constant),
F_AI

Coefficie
ntsa

Unstandardiz
ed Standardized Collinearity
Model Coefficients Coefficients t Sig. Statistics
B Std. Error Beta Tolerance
1 (Constant) 2.957 0.183 16.147 0.000
F_AI 0.188 0.050 0.232 3.731 0.000 1.000
a. Dependent
Variable:
F_PE
Collinear
ity
Diagnost
icsa

Condition Variance
Model Eigenvalue Index Proportions
(Constant) F_AI
1 1 1.974 1.000 0.01 0.01
2 0.026 8.652 0.99 0.99
a. Dependent
Variable:
F_PE

Residual
s
Statistic
sa

Minimum Maximum Mean Std. Deviation N


Predicted 3.2068 3.8943 3.6220 0.15618 246
Value
Residual -1.64434 1.54324 0.00000 0.65384 246
Std. Predicted -2.658 1.744 0.000 1.000 246
Value

Std. Residual -2.510 2.355 0.000 0.998 246

a. Dependent
Variable:
F_PE

Charts

REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA COLLIN TOL
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT F_CE
/METHOD=ENTER F_PE
/SCATTERPLOT=(*ZRESID ,*ZPRED)
/RESIDUALS DURBIN HISTOGRAM(ZRESID) NORMPROB(ZRESID).
Regression

Notes
Output 20-MAR-2025 00:24:50
Created
Comments
Input Data E:\NCKH 24-
25\input
chuan.sav

Active DataSet7
Dataset
Filter <none>
Weight <none>
Split File <none>
N of Rows in 246
Working Data
File
Missing Value Definition of User-defined
Handling Missing missing
values are
treated as
missing.

Cases Used Statistics are


based on
cases with no
missing
values for any
variable used.
Syntax REGRESSIO
N
/MISSING
LISTWISE

/STATISTICS
COEFF
OUTS R
ANOVA
COLLIN TOL

/CRITERIA=P
IN(.05)
POUT(.10)
/NOORIGIN

/DEPENDEN
T F_CE

/METHOD=E
NTER F_PE

/SCATTERPL
OT=(*ZRESID
,*ZPRED)

/RESIDUALS
DURBIN
HISTOGRAM(
ZRESID)
NORMPROB(
ZRESID).

Resources Processor 00:00:00.62


Time
Elapsed Time 00:00:00.60

Memory 2860 bytes


Required
Additional 912 bytes
Memory
Required for
Residual Plots

Variable
s
Entered/
Remove
da
Variables Variables
Model Entered Removed Method
1 F_PEb Enter
a. Dependent
Variable:
F_CE

b. All
requested
variables
entered.

Model
Summar
yb

Adjusted R Std. Error of Durbin-


Model R R Square Square the Estimate Watson
1 .466a 0.217 0.214 0.73580 1.692
a. Predictors:
(Constant),
F_PE

b. Dependent
Variable:
F_CE

ANOVAa
Sum of
Model Squares df Mean Square F Sig.
1 Regression 36.714 1 36.714 67.812 .000b

Residual 132.103 244 0.541


Total 168.817 245
a. Dependent
Variable:
F_CE

b. Predictors:
(Constant),
F_PE

Coefficie
ntsa

Unstandardiz
ed Standardized Collinearity
Model Coefficients Coefficients t Sig. Statistics
B Std. Error Beta Tolerance
1 (Constant) 1.256 0.258 4.875 0.000
F_PE 0.576 0.070 0.466 8.235 0.000 1.000
a. Dependent
Variable:
F_CE
Collinear
ity
Diagnost
icsa

Condition Variance
Model Eigenvalue Index Proportions
(Constant) F_PE
1 1 1.983 1.000 0.01 0.01
2 0.017 10.890 0.99 0.99
a. Dependent
Variable:
F_CE

Residual
s
Statistic
sa

Minimum Maximum Mean Std. Deviation N


Predicted 2.4075 4.1350 3.3415 0.38711 246
Value
Residual -1.95313 1.84254 0.00000 0.73430 246
Std. Predicted -2.413 2.050 0.000 1.000 246
Value

Std. Residual -2.654 2.504 0.000 0.998 246

a. Dependent
Variable:
F_CE

Charts

REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA COLLIN TOL
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT F_CL
/METHOD=ENTER F_PE
/SCATTERPLOT=(*ZRESID ,*ZPRED)
/RESIDUALS DURBIN HISTOGRAM(ZRESID) NORMPROB(ZRESID).
Regression

Notes
Output 20-MAR-2025 00:25:01
Created
Comments
Input Data E:\NCKH 24-
25\input
chuan.sav

Active DataSet7
Dataset
Filter <none>
Weight <none>
Split File <none>
N of Rows in 246
Working Data
File
Missing Value Definition of User-defined
Handling Missing missing
values are
treated as
missing.

Cases Used Statistics are


based on
cases with no
missing
values for any
variable used.
Syntax REGRESSIO
N
/MISSING
LISTWISE

/STATISTICS
COEFF
OUTS R
ANOVA
COLLIN TOL

/CRITERIA=P
IN(.05)
POUT(.10)
/NOORIGIN

/DEPENDEN
T F_CL

/METHOD=E
NTER F_PE

/SCATTERPL
OT=(*ZRESID
,*ZPRED)

/RESIDUALS
DURBIN
HISTOGRAM(
ZRESID)
NORMPROB(
ZRESID).

Resources Processor 00:00:00.62


Time
Elapsed Time 00:00:00.60

Memory 2860 bytes


Required
Additional 912 bytes
Memory
Required for
Residual Plots

Variable
s
Entered/
Remove
da
Variables Variables
Model Entered Removed Method
1 F_PEb Enter
a. Dependent
Variable:
F_CL

b. All
requested
variables
entered.

Model
Summar
yb

Adjusted R Std. Error of Durbin-


Model R R Square Square the Estimate Watson
1 .465a 0.216 0.213 ### 1.927
a. Predictors:
(Constant),
F_PE

b. Dependent
Variable:
F_CL

ANOVAa
Sum of
Model Squares df Mean Square F Sig.
1 Regression 54.408 1 54.408 67.357 .000b

Residual 197.093 244 0.808


Total 251.501 245
a. Dependent
Variable:
F_CL

b. Predictors:
(Constant),
F_PE

Coefficie
ntsa

Unstandardiz
ed Standardized Collinearity
Model Coefficients Coefficients t Sig. Statistics
B Std. Error Beta Tolerance
1 (Constant) 1.057 0.315 3.360 0.001
F_PE 0.701 0.085 0.465 8.207 0.000 1.000
a. Dependent
Variable:
F_CL
Collinear
ity
Diagnost
icsa

Condition Variance
Model Eigenvalue Index Proportions
(Constant) F_PE
1 1 1.983 1.000 0.01 0.01
2 0.017 10.890 0.99 0.99
a. Dependent
Variable:
F_CL

Residual
s
Statistic
sa

Minimum Maximum Mean Std. Deviation N


Predicted ### ### ### ### 246
Value
Residual ### ### ### ### 246
Std. Predicted -2.413 2.050 0.000 1.000 246
Value

Std. Residual -2.627 2.827 0.000 0.998 246

a. Dependent
Variable:
F_CL

Charts

REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA COLLIN TOL
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT F_CL
/METHOD=ENTER F_PE F_AI
/SCATTERPLOT=(*ZRESID ,*ZPRED)
/RESIDUALS DURBIN HISTOGRAM(ZRESID) NORMPROB(ZRESID).
Regression

Notes
Output 20-MAR-2025 00:25:16
Created
Comments
Input Data E:\NCKH 24-
25\input
chuan.sav

Active DataSet7
Dataset
Filter <none>
Weight <none>
Split File <none>
N of Rows in 246
Working Data
File
Missing Value Definition of User-defined
Handling Missing missing
values are
treated as
missing.

Cases Used Statistics are


based on
cases with no
missing
values for any
variable used.
Syntax REGRESSIO
N
/MISSING
LISTWISE

/STATISTICS
COEFF
OUTS R
ANOVA
COLLIN TOL

/CRITERIA=P
IN(.05)
POUT(.10)
/NOORIGIN

/DEPENDEN
T F_CL

/METHOD=E
NTER F_PE
F_AI

/SCATTERPL
OT=(*ZRESID
,*ZPRED)

/RESIDUALS
DURBIN
HISTOGRAM(
ZRESID)
NORMPROB(
ZRESID).

Resources Processor 00:00:00.62


Time
Elapsed Time 00:00:00.61

Memory 3124 bytes


Required
Additional 904 bytes
Memory
Required for
Residual Plots

Variable
s
Entered/
Remove
da
Variables Variables
Model Entered Removed Method
1 F_AI, F_PEb Enter
a. Dependent
Variable:
F_CL

b. All
requested
variables
entered.

Model
Summar
yb

Adjusted R Std. Error of Durbin-


Model R R Square Square the Estimate Watson
1 .553a 0.306 0.300 ### 2.210
a. Predictors:
(Constant),
F_AI, F_PE

b. Dependent
Variable:
F_CL

ANOVAa
Sum of
Model Squares df Mean Square F Sig.
1 Regression 76.849 2 38.424 53.461 .000b

Residual 174.652 243 0.719


Total 251.501 245
a. Dependent
Variable:
F_CL

b. Predictors:
(Constant),
F_AI, F_PE

Coefficie
ntsa

Unstandardiz
ed Standardized Collinearity
Model Coefficients Coefficients t Sig. Statistics
B Std. Error Beta Tolerance
1 (Constant) 0.121 0.341 0.356 0.722
F_PE 0.593 0.083 0.394 7.164 0.000 0.946
F_AI 0.374 0.067 0.307 5.588 0.000 0.946
a. Dependent
Variable:
F_CL

Collinear
ity
Diagnost
icsa

Condition Variance
Model Eigenvalue Index Proportions
(Constant) F_PE F_AI
1 1 2.949 1.000 0.00 0.00 0.01
2 0.035 9.206 0.05 0.27 0.90
3 0.016 13.616 0.95 0.73 0.09
a. Dependent
Variable:
F_CL

Residual
s
Statistic
sa

Minimum Maximum Mean Std. Deviation N


Predicted ### ### ### ### 246
Value
Residual ### ### ### ### 246
Std. Predicted -3.196 1.899 0.000 1.000 246
Value

Std. Residual -2.716 3.767 0.000 0.996 246

a. Dependent
Variable:
F_CL

Charts

REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA COLLIN TOL
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT F_CE
/METHOD=ENTER F_PE F_AI
/SCATTERPLOT=(*ZRESID ,*ZPRED)
/RESIDUALS DURBIN HISTOGRAM(ZRESID) NORMPROB(ZRESID).

Regression

Notes
Output 20-MAR-2025 00:25:28
Created
Comments
Input Data E:\NCKH 24-
25\input
chuan.sav

Active DataSet7
Dataset
Filter <none>
Weight <none>
Split File <none>
N of Rows in 246
Working Data
File
Missing Value Definition of User-defined
Handling Missing missing
values are
treated as
missing.

Cases Used Statistics are


based on
cases with no
missing
values for any
variable used.
Syntax REGRESSIO
N
/MISSING
LISTWISE

/STATISTICS
COEFF
OUTS R
ANOVA
COLLIN TOL

/CRITERIA=P
IN(.05)
POUT(.10)
/NOORIGIN

/DEPENDEN
T F_CE

/METHOD=E
NTER F_PE
F_AI

/SCATTERPL
OT=(*ZRESID
,*ZPRED)

/RESIDUALS
DURBIN
HISTOGRAM(
ZRESID)
NORMPROB(
ZRESID).

Resources Processor 00:00:00.70


Time
Elapsed Time 00:00:00.62

Memory 3124 bytes


Required
Additional 904 bytes
Memory
Required for
Residual Plots

Variable
s
Entered/
Remove
da
Variables Variables
Model Entered Removed Method
1 F_AI, F_PEb Enter
a. Dependent
Variable:
F_CE

b. All
requested
variables
entered.

Model
Summar
yb

Adjusted R Std. Error of Durbin-


Model R R Square Square the Estimate Watson
1 .603a 0.363 0.358 0.66507 1.703
a. Predictors:
(Constant),
F_AI, F_PE

b. Dependent
Variable:
F_CE

ANOVAa
Sum of
Model Squares df Mean Square F Sig.
1 Regression 61.334 2 30.667 69.333 .000b

Residual 107.483 243 0.442


Total 168.817 245
a. Dependent
Variable:
F_CE

b. Predictors:
(Constant),
F_AI, F_PE

Coefficie
ntsa

Unstandardiz
ed Standardized Collinearity
Model Coefficients Coefficients t Sig. Statistics
B Std. Error Beta Tolerance
1 (Constant) 0.276 0.267 1.031 0.304
F_PE 0.463 0.065 0.375 7.128 0.000 0.946
F_AI 0.391 0.052 0.393 7.461 0.000 0.946
a. Dependent
Variable:
F_CE

Collinear
ity
Diagnost
icsa

Condition Variance
Model Eigenvalue Index Proportions
(Constant) F_PE F_AI
1 1 2.949 1.000 0.00 0.00 0.01
2 0.035 9.206 0.05 0.27 0.90
3 0.016 13.616 0.95 0.73 0.09
a. Dependent
Variable:
F_CE

Residual
s
Statistic
sa

Minimum Maximum Mean Std. Deviation N


Predicted 1.7237 4.3166 3.3415 0.50034 246
Value
Residual -1.66150 2.52627 0.00000 0.66235 246
Std. Predicted -3.233 1.949 0.000 1.000 246
Value

Std. Residual -2.498 3.799 0.000 0.996 246

a. Dependent
Variable:
F_CE

Charts
VIF

1.000
VIF

1.000
VIF

1.000
VIF

1.000
VIF

1.000
VIF

1.057
1.057
VIF

1.057
1.057

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