Question

Using Logistic Regression via JMP

The data set has 400 observations and contains the variables, the binary variable admitted to graduate school (where 0—don’t admit;1-- admit ), GRE (GRE scores), undergraduate GPA (grade point average), and prestige of the undergraduate program (1—yes, 0—no). The question is does GRE scores, undergraduate GPA and the prestige of their undergraduate program effect admission into graduate school? Run the appropriate analysis to evaluate this question.

Sample data set. Looking for assistance in setting up the model in JMP.

ADMIT	GRE	TOPNOTCH	GPA
0	380	0	3.61
1	660	1	3.67
1	800	1	4
1	640	0	3.19
0	520	0	2.93
1	760	0	3
1	560	0	2.98
0	400	0	3.08
1	540	0	3.39
0	700	1	3.92
0	800	1	4
0	440	0	3.22
1	760	0	4
0	700	0	3.08
1	700	1	4
0	480	0	3.44
0	780	0	3.87

Answer 1

Logistic Regression:

Output:

Logistic Regression Model:

ADMIT = -0.289+ 0.007* GRE + 0.520 * TOPNOTCH - 1.281*GPA