Please provide clear answers that will get the full marks

4. The following regression is fitted using variables identified that could be related to tuition charges ($) of a university. TUITION = a+ B ACCEPT + y MSAT + VSAT Where ACCEPT = the percentage of applicants that was accepted by the university, MSAT = Median Math SAT score for the freshman class and VSAT = Median English SAT score for the freshman class. The data was processed using MNITAB and the following is an extract of the output obtained: Predictor Coef StDev T P Constant -26780 6115 -4. 38 0. 000 ACCEPT 116.00 37.17 * 0 . 003 MSAT -4. 21 14. 12 -0. 30 0 . 767 VSAT 70. 85 15. 77 4 . 49 * * S = 2685 R-Sq = 69. 6% R-Sq (adj ) = 67.7% Analysis of Variance Source DF SS MS F P Regression 3 808139371 269379790 37.37 0 . 000 Residual Error 49 353193051 7208021 Total 52 1161332421 a) Write out the regression equation. [1] b) State the dependent and independent variable(s) [2] c) Fill in the blanks identified by * and '**. d) Is B significant, at the 10% level of significance? [4] e) State one limitation of using the regression equation for predicting the value of the GPA score. [1] END OF ASSE SSMENT