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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

Calculus For The Life Sciences
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter13: Probability And Calculus
Section13.3: Special Probability Density Functions
Problem 15E: Describe the standard normal distribution. What are its characteristics?
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Find the interpretation of the regression analysis
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: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
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
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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