a. predict the sales nect month for an employee with 3.5 years of experience b. compute the coeffiebce of deternination and its meaning c. do the sample data provide evidence that the model is useful for predicting average monthly sales for employees based on thier sales expierence using a = .05 d. construct a 95% confidence interal around the sample slope and intrepert its meaning
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. Complete parts a through d.
df SS
Regression 1 94.877734
Residual 23 248.042266
Total 24 342.92
Coefficients Standard Error
Intercept 7.050834 1.191639
Slope 0.660557 0.222703
a. predict the sales nect month for an employee with 3.5 years of experience
b. compute the coeffiebce of deternination and its meaning
c. do the sample data provide evidence that the model is useful for predicting average monthly sales for employees based on thier sales expierence using a = .05
d. construct a 95% confidence interal around the sample slope and intrepert its meaning
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