A car dealership would like to develop a regression model that would predict the number of cars sold per month by a dealership employee based on the​employee's number of years of sales experience. The accompanying regression output was developed based on a random sample of employees.           ANOVA df SS Regression 1 79.909407 Residual 23 261.210593 Total 24 341.12     Coefficients Standard Error Intercept 7.271539 1.229763 Slope 0.539854 0.203521   The predicted sales is 8.6 cars.   The coefficient of determination is 0.234   Test Statistic is 7.04   P-value=

MATLAB: An Introduction with Applications
6th Edition
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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A car dealership would like to develop a regression model that would predict the number of cars sold per month by a dealership employee based on the​employee's number of years of sales experience. The accompanying regression output was developed based on a random sample of employees.

 
 
 
 
 
ANOVA
df
SS
Regression
1
79.909407
Residual
23
261.210593
Total
24
341.12
 
 
Coefficients
Standard Error
Intercept
7.271539
1.229763
Slope
0.539854
0.203521
 
The predicted sales is 8.6 cars.
 
The coefficient of determination is 0.234
 
Test Statistic is 7.04
 
P-value= 
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