# Regression

A. Fit a logistic regression model to predict the probability of successful completion of the MBA program based on undergraduate grade point average and GMAT score.

b. Explain the meaning of the regression coefficients for the model fit in (a).

c. Predict the probability of successful completion of the program for a student with an undergraduate grade point average of 3.25 and a GMAT score of 600.

d. At the .05 level of significance, is there evidence that a logistic regression model that uses undergraduate grade point average and GMAT score to predict probability of success in the MBA program is a good-fitting model?

e. At the .05 level of significance, is there evidence that undergraduate grade point average and GMAT score each makes a significant contribution to the logistic regression model?

https://brainmass.com/statistics/regression-analysis/regression-4903

#### Solution Summary

a. Fit a logistic regression model to predict the probability of successful completion of the MBA program based on undergraduate grade point average and GMAT score.

b. Explain the meaning of the regression coefficients for the model fit in (a).

c. Predict the probability of successful completion of the program for a student with an undergraduate grade point average of 3.25 and a GMAT score of 600.

d. At the .05 level of significance, is there evidence that a logistic regression model that uses undergraduate grade point average and GMAT score to predict probability of success in the MBA program is a good-fitting model?

e. At the .05 level of significance, is there evidence that undergraduate grade point average and GMAT score each makes a significant contribution to the logistic regression model?