A study was conducted to investigate variables associated with dropping out of high school. The following logistic regression model was obtained:
Logit(Y i ) = 3.5 - 1.3X 1 + 2.3X 2 .
Y: 1= dropped out of high school; 0= did not drop out of high school;
X 1 : cumulative high school GPA obtained;
X 2 : 1 = retained in at least one grade; 0 = never retained in any grade.
-What is being predicted in this model?
A) The mean difference in cumulative GPA between students who dropped out of high school and those who finished high school.
B) The percentage of students who will drop out before graduating high school.
C) The odds that a student will drop out of high school.
D) The odds that a student had been retained in at least one grade if he dropped out of high school.

Question

Quizplus · Accepted Answer

The logistic regression model predicts the log odds of a binary outcome, in this case, the odds that a student will drop out of high school based on their cumulative GPA and whether they have been retained in a grade.

A Study Was Conducted to Investigate Variables Associated with Dropping