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...

Extracted text: 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 ($) 95% C.I. for mean, 95% P.I. for new 180000 160000 140000- 120000 100000 80000 60000 40000 20000- 0- 20000 30000 70000 40000 Program Per-Year Tuition ($) 50000 60000 i) 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)