The following multiple regression model was developed to predict job performance

Question

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):

= 35 + 20x1 + 50x2

where = job performance evaluation index, x1 = preemployment test scores, and x2 = college GPA.

For an applicant who had a 3.0 GPA and scored 80 on the preemployment test, the forecast for the job performance index = _________

For an applicant who had a 2.5 GPA and scored 70 on the preemployment test, the forecast for the job performance index = _________

Explanation / Answer

For an applicant who had a 3.0 GPA and scored 80 on the preemployment test, the forecast for the job performance index = 35 + 20 x 80 + 50 x 3 = 35 + 1600 + 150 = 1785

For an applicant who had a 2.5 GPA and scored 70 on the preemployment test, the forecast for the job performance index = 35 + 20 x 70 + 50 x 2.5 = 1560

Related Questions

Navigate

• Browse (All)
• Browse T
• Subjects

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.