There are 7 parts to this problem... help please!

A business statistics professor would like to develop a regression model to predict the final exam scores (y) for students based on their current GPAs (x, ), the number of hours they studied for the exam (x2), and the number of times they were absent during the semester (x3). Use the data provided for these variables to complete parts a through f below. Click the icon to view the data set. i Data for statistics students - X a) Construct a regression model using all three independent variables. y = (0) +(0) * +(0)*2+ (0) x3 (Round to two decimal places as needed.) Score GPA Hours Absences 68 2.53 3.00 0 70 2.60 2.50 74 3.08 6.00 4 77 3.35 1.50 0 78 2.99 2.00 3 79 2.80 4.50 0 83 3.25 3.00 1 84 3.18 5.50 0 84 2.71 4.00 85 3.75 2.00 0 86 2.92 6.00 1 86 3.16 3 87 3.54 4.00 0 89 3.66 6.00 0 90 3.40 3.00 1 91 3.79 7.00 0 92 4.00 5.00 NO 93 2.98 4.00 98 2.88 3.50 0 100 3.48 6.50