A prediction equation for sales and payroll was performed using simple linear regression. In the regression printout shown below, which of the following statements is not true? SUMMARY OUTPUT Regression Statistics Multiple R 0.833333 R Square 0.694444 Adjusted R Square 0.618056 Standard Error 1.311011 Observations 6 ANOVA Df SS MS F Significance F Regression 1 15.625 15.625 9.090909 0.039352 Residual 4 6.875 1.71875 Total 5 22.5 Coefficients Standard Error t Stat P-Value Lower 95% Upper 95% Intercept 2 1.742544 1.147747 0.31505 -2.83808 6.838077 Payroll (X) 1.25 0.414578 3.015113 0.039352 0.098947 2.401053 A) Payroll is a good predictor of Sales based on α = 0.05. B) There is evidence of a positive linear relationship between Sales and Payroll based on α = 0.05. C) Payroll is not a good predictor of Sales based on α = 0.01. D) The coefficient of determination is equal to 0.833333.
A prediction equation for sales and payroll was performed using simple linear regression. In the regression printout shown below, which of the following statements is not true? SUMMARY OUTPUT Regression Statistics Multiple R 0.833333 R Square 0.694444 Adjusted R Square 0.618056 Standard Error 1.311011 Observations 6 ANOVA Df SS MS F Significance F Regression 1 15.625 15.625 9.090909 0.039352 Residual 4 6.875 1.71875 Total 5 22.5 Coefficients Standard Error t Stat P-Value Lower 95% Upper 95% Intercept 2 1.742544 1.147747 0.31505 -2.83808 6.838077 Payroll (X) 1.25 0.414578 3.015113 0.039352 0.098947 2.401053 A) Payroll is a good predictor of Sales based on α = 0.05. B) There is evidence of a positive linear relationship between Sales and Payroll based on α = 0.05. C) Payroll is not a good predictor of Sales based on α = 0.01. D) The coefficient of determination is equal to 0.833333.
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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A prediction equation for sales and payroll was performed using simple linear regression. In the regression printout shown below, which of the following statements is not true? SUMMARY OUTPUT Regression Statistics Multiple R 0.833333 R Square 0.694444 Adjusted R Square 0.618056 Standard Error 1.311011 Observations 6 ANOVA Df SS MS F Significance F Regression 1 15.625 15.625 9.090909 0.039352 Residual 4 6.875 1.71875 Total 5 22.5 Coefficients Standard Error t Stat P-Value Lower 95% Upper 95% Intercept 2 1.742544 1.147747 0.31505 -2.83808 6.838077 Payroll (X) 1.25 0.414578 3.015113 0.039352 0.098947 2.401053 A) Payroll is a good predictor of Sales based on α = 0.05. B) There is evidence of a positive linear relationship between Sales and Payroll based on α = 0.05. C) Payroll is not a good predictor of Sales based on α = 0.01. D) The coefficient of determination is equal to 0.833333.
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