The manager of a chain of furniture stores believes that experience is the most important factor in determining the level of success of a salesperson. To examine this belief he records last month's sales and the years of experience for 30 randomly selected salespeople. The linear regression output to predict Monthly Sales (in $1,000's) based on Years of Experience is: SUMMARY OUTPUT Regression Statistics Multiple R 0.6921 R Square 0.479 Observations 30 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 18.5 4.608 4.017 0.0004 9.1 27.9 Years of Experience 1.82 0.3587 5.074 0.0000 1.09 2.55 (a) One of your salespeople with 12 years of experience had $25,000 in sales last month. Is this low for a salesperson with 12 years of experience? Explain using the regression line. [3] (b) Interpret r (the coefficient of determination) using the words of the problem. [3 marks] (c) Is there enough evidence to conclude there is a linear relationship between monthly sales and years of experience? Test at the 5% significance level (95% confidence level). Ho HA [2] Apply a Rule + Decision [2] Conclusion: Circle the Correct One [2 mark] A. Yes, there is enough evidence to conclude there is a linear relationship B. No, there is not enough evidence to conclude there is a linear relationship