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Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.7809 0.6098 0.5610 11.8818 10 Coefficients Standard Error t Stat 13.13 11.48 0.93 -3.54 P-value 2.998E-06 0.0077 Intercept Employees Based on the Excel output given, which of the following statements best describes the relationship between profit and number of employees? Select one: O a. Stores with fewer employees tend to have higher profit, and the relationship is significant O b. Stores with fewer employees tend to have lower profit, but the relationship is not significant O c. There is no relationship between number of employees and profit O d. Stores with fewer employees tend to have lower profit, and the relationship is significant Oe. Stores with fewer employees tend to have higher profit, but the relationship is not significant 150.79 -3.30

Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.7809 0.6098 0.5610 11.8818 10 Coefficients Standard Error t Stat 13.13 11.48 0.93 -3.54 P-value 2.998E-06 0.0077 Intercept Employees Based on the Excel output given, which of the following statements best describes the relationship between profit and number of employees? Select one: O a. Stores with fewer employees tend to have higher profit, and the relationship is significant O b. Stores with fewer employees tend to have lower profit, but the relationship is not significant O c. There is no relationship between number of employees and profit O d. Stores with fewer employees tend to have lower profit, and the relationship is significant Oe. Stores with fewer employees tend to have higher profit, but the relationship is not significant 150.79 -3.30

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 following is the Excel output from a regression of profit on number of employees: Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.7809 0.6098 0.5610 11.8818 10 Coefficients Standard Error 13.13 0.93 t Stat 11.48 -3.54 150.79 -3.30 Intercept Employees Based on the Excel output given, which of the following statements best describes the relationship between profit and number of employees? Select one: O a. Stores with fewer employees tend to have higher profit, and the relationship is significant P-value 2.998E-06 0.0077 O b. Stores with fewer employees tend to have lower profit, but the relationship is not significant О с. There is no relationship between number of employees and profit O d. Stores with fewer employees tend to have lower profit, and the relationship is significant O e. Stores with fewer employees tend to have higher profit, but the relationship is not significant
Transcribed Image Text:The following is the Excel output from a regression of profit on number of employees: Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.7809 0.6098 0.5610 11.8818 10 Coefficients Standard Error 13.13 0.93 t Stat 11.48 -3.54 150.79 -3.30 Intercept Employees Based on the Excel output given, which of the following statements best describes the relationship between profit and number of employees? Select one: O a. Stores with fewer employees tend to have higher profit, and the relationship is significant P-value 2.998E-06 0.0077 O b. Stores with fewer employees tend to have lower profit, but the relationship is not significant О с. There is no relationship between number of employees and profit O d. Stores with fewer employees tend to have lower profit, and the relationship is significant O e. Stores with fewer employees tend to have higher profit, but the relationship is not significant
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