prêdičtión équâtion för šālėš ānd payroll performed using simple regression. In the regression printout shown below, which of the following statements is not true? SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square 0.833333 0.694444 0.618056 Standard Error 1.311011 Observations ANOVA Regression Residual Total Df MS 15.625 1.71875 Significance F 0.039352 15.625 6.875 9.090909 22.5 Upper 95% 6.838077 2.401053 Cafficients * Stat 1.147747 0.414578 3.015113 0.039352 Lower 95% -2.83808 0.098947 Standard ErrOr P-Value Intercept Payroll (X) 1.742544 0.31505 1.25 Payroll is not a good predictor of Sales based on a = 0.01. There is evidence of a positive linear relationship between Sales and Payroll based on a Payroll is a good predictor of Sales based on a = 0.05. The coefficient of determination is egual to 0 833333

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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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
R Square
Adjusted R Square
0.833333
0.694444
0.618056
Standard ErTor
1.311011
Observations
ANOVA
Df
Significance F
MS
F
15.625
6.875
15.625
1.71875
9.090909
Regression
Residual
0.039352
4
Total
22.5
P-Value
t Stat
1.147747
0.414578 3.015113 0.039352
Coefficients
Standard Error
Lower 95%
Lipper 95%
Intercept
Рayroll (X)
2
1.742544
0.31505
-2.83808
6.838077
1.25
0.098947
2.401053
Payroll is not a good predictor of Sales based on a = 0.01.
There is evidence of a positive linear relationship between Sales and Payroll based on a = 0.05.
Payroll is a good predictor of Sales based on a = 0.05.
The coefficient of determination is equal to 0 833333
Transcribed Image Text: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 R Square Adjusted R Square 0.833333 0.694444 0.618056 Standard ErTor 1.311011 Observations ANOVA Df Significance F MS F 15.625 6.875 15.625 1.71875 9.090909 Regression Residual 0.039352 4 Total 22.5 P-Value t Stat 1.147747 0.414578 3.015113 0.039352 Coefficients Standard Error Lower 95% Lipper 95% Intercept Рayroll (X) 2 1.742544 0.31505 -2.83808 6.838077 1.25 0.098947 2.401053 Payroll is not a good predictor of Sales based on a = 0.01. There is evidence of a positive linear relationship between Sales and Payroll based on a = 0.05. Payroll is a good predictor of Sales based on a = 0.05. The coefficient of determination is equal to 0 833333
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