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Tourists (thousands) 6.389163997 0.633898777 What is the approximate slope, b? 11.6 -11.6 O -6.4 6.4 10.07915 1.48E-06

Tourists (thousands) 6.389163997 0.633898777 What is the approximate slope, b? 11.6 -11.6 O -6.4 6.4 10.07915 1.48E-06

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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The owner of Koffi, the sole coffee house located in a resort area, wants to develop a forecast based on the relationship between tourism and coffee drinks sold. He has developed a linear regression model in Excel for the same and obtained the following output. SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept 11.6 -11.6 0.954141355 -6.4 0.910385725 6.4 0.901424297 18.57063782 12 df 1 10 11 What is the approximate slope, b? SS 35034.98077 Tourists (thousands) 6.389163997 0.633898777 3448.685892 38483.66667 Coefficients Standard Error -11.5743276 12.46354188 MS F 35034.98 101.5894 344.8686 t Stat P-value -0.92865 0.37494 10.07915 1.48E-06
Transcribed Image Text:The owner of Koffi, the sole coffee house located in a resort area, wants to develop a forecast based on the relationship between tourism and coffee drinks sold. He has developed a linear regression model in Excel for the same and obtained the following output. SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept 11.6 -11.6 0.954141355 -6.4 0.910385725 6.4 0.901424297 18.57063782 12 df 1 10 11 What is the approximate slope, b? SS 35034.98077 Tourists (thousands) 6.389163997 0.633898777 3448.685892 38483.66667 Coefficients Standard Error -11.5743276 12.46354188 MS F 35034.98 101.5894 344.8686 t Stat P-value -0.92865 0.37494 10.07915 1.48E-06
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