+ The following multiple regression model was developed to predict job performance as measured by a company job performance evaluation index based on a preemployment test score and college grade point average (GPA) 9 = 35+244, +48x3 where y= job performance evaluation index, X4 - preemployment test score, y college GPA a) For an applicant who had a 2.8 GPA and scored 90 on the proomployment test, the forecast for the job performance index = round your response to one decimal place) y = 35+ 24x+46x7 where 9 = job performance evaluation index, *, - preemployment test score - college GPA a) For an applicant who had a 2.8 GPA and scored 90 on the preemployment test, the forecast for the job performance index = (round your response one decimal place) b) For an applicant who had a 24 GPA and scored 75 on the preemployment test, the forecast for the job performance index=(round your response to one decimal place)