I need help with

The chairman of the marketing department at a large state university undertakes a st after graduation for marketing majors to grade point average (GPA) in major courses. To do this, records of seven recent marketing graduates are randomly selected. The MINITAB output of a simple linear regression analysis of the data set for this case is below. Predictor Coof SE Coof Constant 14. 816 1. 235 I 12 . 00 0.000 GPA 5. 7066 0 . 3953 14.44 0.000 s - 0.536321 R-sq - 97.7% R-Sq(adj) - 97.2% Analysis of Variance Source DP SS MS Regression 59 . 942 59.942 208 39 0.000 Residual Error 1.438 0 . 288 Total 61 .380 Based on the output, a. give the equation of the LSRL for predicting the starting salary given the student's GPA. (3 pt) b. give the value of r, the correlation coefficient. (1 pt) c. give the predicted starting salary for a student with a 3.8 GPA. (2 pts) d. find the actual starting salary for John if his residual is 1.31 and his GPA was 3.28. (3 pts) (Show as much work as you can.)