please help Interpret this SPSS output based on, a) What is the coefficient of determination and interpret its value. Be elaborate and precise in your answer. Provide at least two sentences of explanation. b) How do you assess the overall significance of the regression? What is your conclusion in the context of this example? Be elaborate and precise in your answer. Provide at least three sentences of explanation. c) Interpret the value of the regression coefficient for the variable "Comfort". Be elaborate and precise in your answer. Provide at least three sentences of explanation.

MATLAB: An Introduction with Applications
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please help Interpret this SPSS output based on,

a) What is the coefficient of determination and interpret its value. Be elaborate and precise in your answer. Provide at least two sentences of explanation.

b) How do you assess the overall significance of the regression? What is your conclusion in the context of this example? Be elaborate and precise in your answer. Provide at least three sentences of explanation.

c) Interpret the value of the regression coefficient for the variable "Comfort". Be elaborate and precise in your answer. Provide at least three sentences of explanation.

 

Consider the following SPSS output:
Brand
Price Style Comfort
Preference
5.0
3.0
3.0
4.0
7.0
6.0
4.0
4.0
7.0
6.0
6.0
6.0
5.0
5.0
5.0
5.0
Note: All the variables are measured on a scale from 1 to 7.
Model Summary
Adjusted R
Square
Std. Error of
Model
R
R Square
the Estimate
1
.828ª
.686
.627
1.307
a. Predictors: (Constant), Comfort, Price Charged, Style
ANOVA
Sum of
Model
Squares
df
Mean Square
F
Sig.
1
Regression
59.612
3
19.871
11.630
.000ª
Residual
27.338
16
1.709
Total
86.950
19
a. Predictors: (Constant), Comfort, Price Charged, Style
b. Dependent Variable: Brand Preference
Coefficients
Unstandardized
Standardized
Coefficients
Coefficients
Model
B
Std. Error
Beta
Sig.
1
(Constant)
-4.511
1.605
-2.810
.013
Price Charged
.777
.331
378
2.346
.032
Style
498
.227
.362
2.198
.043
Comfort
.717
.329
335
2.176
.045
a. Dependent Variable: Brand Preference
Transcribed Image Text:Consider the following SPSS output: Brand Price Style Comfort Preference 5.0 3.0 3.0 4.0 7.0 6.0 4.0 4.0 7.0 6.0 6.0 6.0 5.0 5.0 5.0 5.0 Note: All the variables are measured on a scale from 1 to 7. Model Summary Adjusted R Square Std. Error of Model R R Square the Estimate 1 .828ª .686 .627 1.307 a. Predictors: (Constant), Comfort, Price Charged, Style ANOVA Sum of Model Squares df Mean Square F Sig. 1 Regression 59.612 3 19.871 11.630 .000ª Residual 27.338 16 1.709 Total 86.950 19 a. Predictors: (Constant), Comfort, Price Charged, Style b. Dependent Variable: Brand Preference Coefficients Unstandardized Standardized Coefficients Coefficients Model B Std. Error Beta Sig. 1 (Constant) -4.511 1.605 -2.810 .013 Price Charged .777 .331 378 2.346 .032 Style 498 .227 .362 2.198 .043 Comfort .717 .329 335 2.176 .045 a. Dependent Variable: Brand Preference
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