# Score GPA Hours Absences 68 253 300 0 70 260 250 1 74 308 600 4 77 335 150 0 78 299 200 3 79 280 450

Score GPA Hours Absences

68 253 300 0

70 260 250 1

74 308 600 4

77 335 150 0

78 299 200 3

79 280 450 0

83 325 300 1

84 318 550 0

84 271 400 1

85 375 200 0

86 292 600 1

86 316 500 3

87 354 400 0

89 366 500 0

90 340 600 1

91 379 700 0

92 400 500 0

93 298 400 2

98 288 350 0

100 348 650 1

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 1

x1?),the number of hours they studied for the exam?(x 2

x2?),and the number of times they were absent during the semester?(x 3

x3?)Use the data provided for these variables to complete parts a through f below

A Construct a regression model using all three independent variables

y hat= () = + () x1 + () x2 + () x3

?(Round to two decimal places as? needed)

B Interpret the meaning of the regression coefficients

C

D Construct a? 95% confidence interval for the average exam score for a student described in part c Interpret the meaning of the interval