a. Statement of the Problem: Does Price (X3) and Promotion (X4) predict Satisfaction (X2)? b. Conceptual Framework: Independent Variable X3 - Price X4 - Promotion Model Variables Entered Variables Removed 1 Price 2 Promotion a. Dependent Variable: Sales c. Null Hypothesis: Price (X3) and Promotion (X4) does not predict Sales (X2). d. Process: 1 2 a. Predictors: (Constant), Price b. Predictors: (Constant), Price, Promotion c. Dependent Variable: Sales Model 1 Regression Residual Total Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson .735¹ .870⁰ 864.946 638.065 2 Regression Residual .540 .758 Model ANOVAⓇ Sum of df Squares 2.815E7 1 2.394E7 32 5.209E7 33 3.947E7 2 1.262E7 31 407127.312 5.209E7 33 B Unstandardized Coefficients .526 .742 Mean Square Total a. Predictors: (Constant), Price b. Predictors: (Constant), Price, Promotion c. Dependent Variable: Sales Promotion .361 a. Dependent Variable: Sales 748130.978 Dependent Variable Std. Error 1 (Constant) 7512.348 734.619 Price -56.714 9.245 2 (Constant) 5837.521 628.150 Price -53.217 6.852 .069 X2 - Sales Variables Entered/Removed Method Stepwise (Criteria: Probability-of-F-to-enter <= .050, Probability-of-F-to-remove >= .100). Stepwise (Criteria: Probability-of-F-to-enter <= .050, Probability-of-F-to-remove >= 100). 2.815E7 37.632 .000⁰ F 1.974E7 48.477 .000 Sig. Standardized Coefficients Beta -.735 Coefficients t Sig. 10.226 .000 -6.134 .000 9.293 .000 -.690 -7.766 .000 468 5.273 .000 Zero- order -.735 -.735 .535 2.282 Correlations Partial -.735 -.813 .688 Part -.735 -.687 .466 Collinearity Statistics Tolerance 1.000 -991 .991 VIF 1.000 1.009 1.009
a. Statement of the Problem: Does Price (X3) and Promotion (X4) predict Satisfaction (X2)? b. Conceptual Framework: Independent Variable X3 - Price X4 - Promotion Model Variables Entered Variables Removed 1 Price 2 Promotion a. Dependent Variable: Sales c. Null Hypothesis: Price (X3) and Promotion (X4) does not predict Sales (X2). d. Process: 1 2 a. Predictors: (Constant), Price b. Predictors: (Constant), Price, Promotion c. Dependent Variable: Sales Model 1 Regression Residual Total Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson .735¹ .870⁰ 864.946 638.065 2 Regression Residual .540 .758 Model ANOVAⓇ Sum of df Squares 2.815E7 1 2.394E7 32 5.209E7 33 3.947E7 2 1.262E7 31 407127.312 5.209E7 33 B Unstandardized Coefficients .526 .742 Mean Square Total a. Predictors: (Constant), Price b. Predictors: (Constant), Price, Promotion c. Dependent Variable: Sales Promotion .361 a. Dependent Variable: Sales 748130.978 Dependent Variable Std. Error 1 (Constant) 7512.348 734.619 Price -56.714 9.245 2 (Constant) 5837.521 628.150 Price -53.217 6.852 .069 X2 - Sales Variables Entered/Removed Method Stepwise (Criteria: Probability-of-F-to-enter <= .050, Probability-of-F-to-remove >= .100). Stepwise (Criteria: Probability-of-F-to-enter <= .050, Probability-of-F-to-remove >= 100). 2.815E7 37.632 .000⁰ F 1.974E7 48.477 .000 Sig. Standardized Coefficients Beta -.735 Coefficients t Sig. 10.226 .000 -6.134 .000 9.293 .000 -.690 -7.766 .000 468 5.273 .000 Zero- order -.735 -.735 .535 2.282 Correlations Partial -.735 -.813 .688 Part -.735 -.687 .466 Collinearity Statistics Tolerance 1.000 -991 .991 VIF 1.000 1.009 1.009
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Explain/Discuss thoroughly this Statistical Result
![Model
1
1 Promotion
.468³ 5.273 .000
a. Predictors in the Model: (Constant), Price
b. Dependent Variable: Sales
Collinearity Diagnostics
Model Dimension Eigenvalue Condition Index
1
2
1
2
3
a. Dependent Variable: Sales
2
Beta In
Std. Residual
Stud. Residual
Deleted Residual
Stud. Deleted Residual
Predicted Value
Std. Predicted Value
Standard Error of Predicted Value
Adjusted Predicted Value
Residual
Regression Standardized Predicted
Value
t
Mahal. Distance
Cook's Distance
Centered Leverage Value
a. Dependent Variable: Sales
A
1.979
.021
2.868
-114
.018
0
Excluded Variables
Sig. Partial Correlation
1.000
9.803
1.000
5.014
12.618
O
.012
.000
.000
Residuals Statistics
Minimum Maximum Mean Std. Deviation N
1291.62
4865.53 3098.68
1093.683 34
-1.652
.000
1.000 34
1.616
241.166 186.182
36.022 34
110.077
1190.06 4974.50 3095.85
1094.978 34
-1.681E3 1342.426
-2.634
2.104
-2.732
2.136
-1.807E3 1383.604
-3.084
Scatterplot
0
00
Dependent Variable: Sales
00
O
Variance Proportions
(Constant) Price Promotion
.01 .01
.99
.99
.00
.00
.02
.09
.98 .90
2.275
3.744
.187
.113
0
8
DO
.688
O
O
Collinearity Statistics
Tolerance VIF Minimum Tolerance
.991 1.009
.991
O
.000
.000
.002
2.823
.000
1.941
.027
.059
O
O
-1
0
Regression Standardized Residual
618.428 34
.969 34
1.008 34
669.075 34
1.057 34
02
.84
.15
0
EN
0
1.018 34
.040 34
.031 34](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd809a187-b996-4c76-a22c-99cbcc0816e9%2F674052cb-a879-41b9-b572-e27ef9cd3db4%2Fxqecoy7_processed.png&w=3840&q=75)
Transcribed Image Text:Model
1
1 Promotion
.468³ 5.273 .000
a. Predictors in the Model: (Constant), Price
b. Dependent Variable: Sales
Collinearity Diagnostics
Model Dimension Eigenvalue Condition Index
1
2
1
2
3
a. Dependent Variable: Sales
2
Beta In
Std. Residual
Stud. Residual
Deleted Residual
Stud. Deleted Residual
Predicted Value
Std. Predicted Value
Standard Error of Predicted Value
Adjusted Predicted Value
Residual
Regression Standardized Predicted
Value
t
Mahal. Distance
Cook's Distance
Centered Leverage Value
a. Dependent Variable: Sales
A
1.979
.021
2.868
-114
.018
0
Excluded Variables
Sig. Partial Correlation
1.000
9.803
1.000
5.014
12.618
O
.012
.000
.000
Residuals Statistics
Minimum Maximum Mean Std. Deviation N
1291.62
4865.53 3098.68
1093.683 34
-1.652
.000
1.000 34
1.616
241.166 186.182
36.022 34
110.077
1190.06 4974.50 3095.85
1094.978 34
-1.681E3 1342.426
-2.634
2.104
-2.732
2.136
-1.807E3 1383.604
-3.084
Scatterplot
0
00
Dependent Variable: Sales
00
O
Variance Proportions
(Constant) Price Promotion
.01 .01
.99
.99
.00
.00
.02
.09
.98 .90
2.275
3.744
.187
.113
0
8
DO
.688
O
O
Collinearity Statistics
Tolerance VIF Minimum Tolerance
.991 1.009
.991
O
.000
.000
.002
2.823
.000
1.941
.027
.059
O
O
-1
0
Regression Standardized Residual
618.428 34
.969 34
1.008 34
669.075 34
1.057 34
02
.84
.15
0
EN
0
1.018 34
.040 34
.031 34
![a. Statement of the Problem: Does Price (X3) and Promotion (X4) predict Satisfaction (X2)?
b. Conceptual Framework:
Independent Variable
X3 - Price
X4 - Promotion
Model Variables Entered Variables Removed
1
Price
2
Promotion
a. Dependent Variable: Sales
c. Null Hypothesis: Price (X3) and Promotion (X4) does not predict Sales (X2).
d. Process:
1
2
a. Predictors: (Constant), Price
b. Predictors: (Constant), Price, Promotion
c. Dependent Variable: Sales
Model
Model Summary
Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson
735¹
864.946
.526
742
.870
638.065
Sum of
Squares
2.815E7 1
2.394E7 32 748130.978
5.209E7 33
3.947E7 2
1.262E7 31 407127.312
Total
5.209E7 33
a. Predictors: (Constant), Price
b. Predictors: (Constant), Price, Promotion
c. Dependent Variable: Sales
1 Regression
Residual
Total
2 Regression
Residual
Model
540
.758
1 (Constant)
Price
ANOVAⓇ
df
Unstandardized
Coefficients
B
Mean
Square
Dependent Variable
X2 - Sales
Std. Error
7512.348 734.619
-56.714
9.245
2 (Constant) 5837.521 628.150
Price
-53.217
6.852
Promotion
.361
.069
a. Dependent Variable: Sales
Variables Entered/Removed
Method
Stepwise (Criteria: Probability-of-F-to-enter <= .050. Probability-of-F-to-remove >= .100).
Stepwise (Criteria: Probability-of-F-to-enter <= .050, Probability-of-F-to-remove >= .100).
F
2.815E7 37.632 .000²
1.974E7 48.477 .000⁰
Sig.
Standardized
Coefficients
Beta
Coefficients
t Sig.
10.226.000
-.735 -6.134.000
9.293 .000
-.690 -7.766 .000
.468 5.273.000
Zero-
order
-.735
2.282
-.735
535
Correlations
Partial
-.735
-.813
.688
Part
-.735
-.687
.466
Collinearity Statistics
Tolerance
1.000
.991
.991
VIF
1.000
1.009
1.009](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd809a187-b996-4c76-a22c-99cbcc0816e9%2F674052cb-a879-41b9-b572-e27ef9cd3db4%2Ftabazss_processed.png&w=3840&q=75)
Transcribed Image Text:a. Statement of the Problem: Does Price (X3) and Promotion (X4) predict Satisfaction (X2)?
b. Conceptual Framework:
Independent Variable
X3 - Price
X4 - Promotion
Model Variables Entered Variables Removed
1
Price
2
Promotion
a. Dependent Variable: Sales
c. Null Hypothesis: Price (X3) and Promotion (X4) does not predict Sales (X2).
d. Process:
1
2
a. Predictors: (Constant), Price
b. Predictors: (Constant), Price, Promotion
c. Dependent Variable: Sales
Model
Model Summary
Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson
735¹
864.946
.526
742
.870
638.065
Sum of
Squares
2.815E7 1
2.394E7 32 748130.978
5.209E7 33
3.947E7 2
1.262E7 31 407127.312
Total
5.209E7 33
a. Predictors: (Constant), Price
b. Predictors: (Constant), Price, Promotion
c. Dependent Variable: Sales
1 Regression
Residual
Total
2 Regression
Residual
Model
540
.758
1 (Constant)
Price
ANOVAⓇ
df
Unstandardized
Coefficients
B
Mean
Square
Dependent Variable
X2 - Sales
Std. Error
7512.348 734.619
-56.714
9.245
2 (Constant) 5837.521 628.150
Price
-53.217
6.852
Promotion
.361
.069
a. Dependent Variable: Sales
Variables Entered/Removed
Method
Stepwise (Criteria: Probability-of-F-to-enter <= .050. Probability-of-F-to-remove >= .100).
Stepwise (Criteria: Probability-of-F-to-enter <= .050, Probability-of-F-to-remove >= .100).
F
2.815E7 37.632 .000²
1.974E7 48.477 .000⁰
Sig.
Standardized
Coefficients
Beta
Coefficients
t Sig.
10.226.000
-.735 -6.134.000
9.293 .000
-.690 -7.766 .000
.468 5.273.000
Zero-
order
-.735
2.282
-.735
535
Correlations
Partial
-.735
-.813
.688
Part
-.735
-.687
.466
Collinearity Statistics
Tolerance
1.000
.991
.991
VIF
1.000
1.009
1.009
Expert Solution
![](/static/compass_v2/shared-icons/check-mark.png)
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 3 steps
![Blurred answer](/static/compass_v2/solution-images/blurred-answer.jpg)
Recommended textbooks for you
![MATLAB: An Introduction with Applications](https://www.bartleby.com/isbn_cover_images/9781119256830/9781119256830_smallCoverImage.gif)
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
![Probability and Statistics for Engineering and th…](https://www.bartleby.com/isbn_cover_images/9781305251809/9781305251809_smallCoverImage.gif)
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
![Statistics for The Behavioral Sciences (MindTap C…](https://www.bartleby.com/isbn_cover_images/9781305504912/9781305504912_smallCoverImage.gif)
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
![MATLAB: An Introduction with Applications](https://www.bartleby.com/isbn_cover_images/9781119256830/9781119256830_smallCoverImage.gif)
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
![Probability and Statistics for Engineering and th…](https://www.bartleby.com/isbn_cover_images/9781305251809/9781305251809_smallCoverImage.gif)
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
![Statistics for The Behavioral Sciences (MindTap C…](https://www.bartleby.com/isbn_cover_images/9781305504912/9781305504912_smallCoverImage.gif)
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
![Elementary Statistics: Picturing the World (7th E…](https://www.bartleby.com/isbn_cover_images/9780134683416/9780134683416_smallCoverImage.gif)
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
![The Basic Practice of Statistics](https://www.bartleby.com/isbn_cover_images/9781319042578/9781319042578_smallCoverImage.gif)
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
![Introduction to the Practice of Statistics](https://www.bartleby.com/isbn_cover_images/9781319013387/9781319013387_smallCoverImage.gif)
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman