The value of the G statistic is predictor variables and indicates that the three
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question

Transcribed Image Text:Block 1: Method = Enter
Step 1
Omnibus Tests of Model Coefficients
Chi-square
df
Step
41.459
5
Block
41.459
Model
41.459
Model Summary
Step 1
0
Step 1ª
-2 Log
likelihood
Cox & Snell R
Square
Step
1
458.517ª
.098
a. Estimation terminated at iteration number 4
because parameter estimates changed by less
than .001.
(J) The value of the G statistic is
predictor variables
Classification Tableª
admit
Observed
admit
1
Overall Percentage
5
B
5
.002
.804
Sig.
0
.000
.000
.000
Nagelkerke R
Square
.138
a. The cut value is .500
gre
.001
gpa
.332
rank
rank(1)
1.551
418
rank(2)
.876
.367
rank(3)
.211
.393
Constant
-5.541
1.138
a. Variable(s) entered on step 1: gre, gpa, rank.
Predicted
1
Percentage
Correct
254
19
97
30
Variables in the Equation
S.E.
Wald
4.284
5.872
20.895
13.787
5.706
.289
23.709
and indicates that the three
93.0
23.6
71.0
df
1
1
3-
ل ه ه ه
1
Sig.
.038
015
.000
.000
.017
.591
.000
Exp (B)
1.002
2.235
4.718
2.401
1.235
.004
Neu
t rish
V:
IV
IV
it

Transcribed Image Text:(K) The sensitivity =
X =
and y =
a
(L) The specificity = a =
b
and b =
(M) The overall success rate of the logit model is
S
(N) The false positive of the predicting equation is
t
t=
(0) The false negative of the predicting equation is
and
f=
(P) For every one unit change in gre, the logit of admission (versus non-admission)
increases by
(Q) For a one unit increase in gpa, the logit of being admitted to graduate school
increases by
(R) Having attended an undergraduate institution with rank of 1, versus an institution
with a rank of 4, increases the logit of admission by
y
S=
and
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