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Based on the table of regression coefficients below, for every unit increase in satisfaction, Model 1 (Constant) X22 X15 Coefficients Unstandardized Coefficients B Std. Error .502 Satisfaction .123 Fresh Food .088 a. Dependent Variable: X27 -- Food Quality .187 .038 .036 Standardized Coefficients Beta .186 142 t 2.685 3.225 2.472 Sig. .008 .001 .014

Based on the table of regression coefficients below, for every unit increase in satisfaction, Model 1 (Constant) X22 X15 Coefficients Unstandardized Coefficients B Std. Error .502 Satisfaction .123 Fresh Food .088 a. Dependent Variable: X27 -- Food Quality .187 .038 .036 Standardized Coefficients Beta .186 142 t 2.685 3.225 2.472 Sig. .008 .001 .014

MATLAB: An Introduction with Applications
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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Based on the table of regression coefficients below, for every unit increase in satisfaction, Model 1 Coefficients Unstandardized Coefficients B Std. Error (Constant) .502 X22 Satisfaction .123 X15 Fresh Food .088 a. Dependent Variable: X27 - Food Quality O Food quality ratings will increase by .123. O Fresh food will decrease by .088 O Fresh food will increase by .088 O Food quality ratings will increase by 1. O Food quality ratings will increase by .502. .187 .038 .036 Standardized Coefficients Beta .186 .142 t 2.685 3.225 2.472 Sig. .008 .001 .014
Transcribed Image Text:Based on the table of regression coefficients below, for every unit increase in satisfaction, Model 1 Coefficients Unstandardized Coefficients B Std. Error (Constant) .502 X22 Satisfaction .123 X15 Fresh Food .088 a. Dependent Variable: X27 - Food Quality O Food quality ratings will increase by .123. O Fresh food will decrease by .088 O Fresh food will increase by .088 O Food quality ratings will increase by 1. O Food quality ratings will increase by .502. .187 .038 .036 Standardized Coefficients Beta .186 .142 t 2.685 3.225 2.472 Sig. .008 .001 .014
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