The following is the graph output of running a linear regression model using program per-year tuition as a predictor of mean starting salary upon graduation. Data were collected for 37 full-time MBA programs offered at private universities. Answer the following questions:Fitted line,Mean Starting Salary Upon Graduation ($)95% C.I. for mean,95% P.I. for new180000160000140000-12000010000080000600004000020000-0-20000300007000040000Program Per-Year Tuition ($)5000060000i) Find approximate program per-year tuition of these 37 full-time MBA programs.x = $ (enter an integer)ii) Find a predicted value of mean starting salary upon graduation if the program per-year tuition is $50,000.= $ (enter an integer)iii) Find an estimated value of eroo standard deviation for this model.s =$(enter an integer)iv) Find the 95% prediction interval for the mean starting salary upon graduation of a program with $40,000 program per-year tuition.95% confidence interval ($, $) (enter an integers)

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The following is the graph output of running a linear regression model using program per-year tuition as a predictor of mean starting salary upon graduation. Data were collected for 37 full-time MBA programs offered at private universities. Answer the following questions: epFitted line, 95% CI. for mean, 95% PI. for new Mean Starting Salary Upon Graduation (S) 180000- 160000- 140000 120000 100000 80000 60000 40000- 20000 20000 70000 40000 Program Per-Year Tuition (S) 30000 50000 60000 i) Find approximate program per-year tuition of these 37 full-time MBA programs. x = $ (enter an integer) i) Find a predicted value of mean starting salary upon graduation if the program per-year tuition is $50,000. y =s (enter an integer) iii) Find an estimated value of eroo standard deviation for this model. s =$ (enter an integer) iv) Find the 95% prediction interval for the mean starting salary upon graduation of a program with $40,000 program per-year tuition. 95% confidence interval ($. $) (enter an integers)