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.
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
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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.

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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