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A Buick dealership would like to develop a regres- sion 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 following regression output was developed based on a random sample of employees. ANOVA df SS Regression 84.72068376 Residual 23 243.1193162 Total 24 327.84 Coefficients Standard Error Intercept 7.069059829 1.507676628 Experience 0.601709402 0.212538635 O- QUESTION 11 Chapter 14 problem 14.77 To determine if the sample data provide evidence that the model is useful for predicting average monthly sales for employees based on their sales experience. what is the test statistic? (Keep _ digits after the decimal point] 28.00 QUESTION 18 Chapter 14 problem 14.77 What is the standard error of a slope? (Keep two digits after the decimal point.)