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e ) The false negative of the predicting equation is ƒ e = f =

e ) The false negative of the predicting equation is ƒ e = f =

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Can you answer O for the following tables

e 0) The false negative of the predicting equation isf e= and f =
Transcribed Image Text:e 0) The false negative of the predicting equation isf e= and f =
Classification Table Predicted admit Percentage Correct 1 somit 254 19 93.0 97 30 23.6 Overali Percentage 71.0 a. The cut value is .500 Variables in the Equation S.E. Wald df Sig. Exp(B) Step 1° gre .002 .001 4.284 1 .038 1.002 gpa .804 .332 5.872 1 .015 2.235 rank 20.895 .000 rank(1) 1.551 .418 13.787 1 .000 4.718 rank(2) .876 .367 5.706 1 .017 2.401 rank(3) .211 .393 289 1 591 1.235 Constant -5.541 1.138 23.709 1 .000 .004 a. Variable(s) entered on step 1: gre, gpa, rank. (K) The sensitivity = y x = and y = %3D %3D a (L) The specificity = b a = %3D and b = (M) The overall success rate of the logit model is S (N) The false positive of the predicting equation is t s= and t =
Transcribed Image Text:Classification Table Predicted admit Percentage Correct 1 somit 254 19 93.0 97 30 23.6 Overali Percentage 71.0 a. The cut value is .500 Variables in the Equation S.E. Wald df Sig. Exp(B) Step 1° gre .002 .001 4.284 1 .038 1.002 gpa .804 .332 5.872 1 .015 2.235 rank 20.895 .000 rank(1) 1.551 .418 13.787 1 .000 4.718 rank(2) .876 .367 5.706 1 .017 2.401 rank(3) .211 .393 289 1 591 1.235 Constant -5.541 1.138 23.709 1 .000 .004 a. Variable(s) entered on step 1: gre, gpa, rank. (K) The sensitivity = y x = and y = %3D %3D a (L) The specificity = b a = %3D and b = (M) The overall success rate of the logit model is S (N) The false positive of the predicting equation is t s= and t =
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