Table 4.13 The Relationship Between the Predictors and the Dependent Variable Model Coefficients- Purchase Intentions of Consumers Predictor Estimate SE t Stand. Estimate 1.13 Intercept Credibility Popularity Attractiveness 0.247 0.2182 0.259 0.249 0.0782 3.19 0.002 0.230 0.167 0.0740 2.26 0.025 0.185 0.266 0.0691 3.84 <.001 0.294 Match-up 0.263 0.0657 4.01 <.001 0.254
Table 4.13 The Relationship Between the Predictors and the Dependent Variable Model Coefficients- Purchase Intentions of Consumers Predictor Estimate SE t Stand. Estimate 1.13 Intercept Credibility Popularity Attractiveness 0.247 0.2182 0.259 0.249 0.0782 3.19 0.002 0.230 0.167 0.0740 2.26 0.025 0.185 0.266 0.0691 3.84 <.001 0.294 Match-up 0.263 0.0657 4.01 <.001 0.254
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
Find the interpretation of the regression analysis
Transcribed Image Text:Table 4.12 The Relationship Between the Predictors and the Dependent Variable
Model Fit Measures
Overall Model Test
R
df2
UP
4
Model
R
Adjusted R
1
0.805
0.648
0.638
64.5
140
<.001
Table 4.13 The Relationship Between the Predictors and the Dependent Variable
Model Coefficients – Purchase Intentions of Consumers
Predictor
Estimate
SE
t
Stand. Estimate
Intercept
0.247
0.2182
1.13
0.259
Credibility
Popularity
0.249
0.0782
3.19
0.002
0.230
0.167
0.0740
2.26
0.025
0.185
Attractiveness
0.266
0.0691
3.84
<.001
0.294
Match-up
0.263
0.0657
4.01
<.001
0.254
INTERPRETATION
Transcribed Image Text:REGRESSION ANALYSIS
Table 4.10 Test of Normality
Normality Test (Shapiro-Wilk)
Statistic
0.970
0.003
Table 4.11 Analysis of Variance (ANOVA)
Omnibus ANOVA Test
Sum of Squares
df
Mean Square
F
Credibility
3.06
1
3.059
10.18
0.002
Popularity
1.54
1
1.540
5.12
0.025
Attractiveness
4.44
1
4.442
14.78
<.001
Match-up
4.82
1
4.823
16.04
<.001
Residuals
42.08
140
0.301
Note. Type 3 sum of squares
Table 4.12 The Relationship Between the Predictors and the Dependent Variable
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