= (-1.68, 0.26). If the observed values of predictor æ are 2.33, 1.96, 1.20, 3.36, the . Consider the logistic regression model for Bernoulli response variable y; and predictor ; as €80+812i P(Yi = 1|xi)=1+0+1 for i = 1, 2, 3, 4 Suppose the maximum likelihood estimate of the parameters is (30, ẞ1) estimated asymptotic variance of B1 is 1.71 approximately 4.36 approximately O 12.82 approximately 2.19 approximately

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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=
(-1.68, 0.26). If the observed values of predictor æ are 2.33, 1.96, 1.20, 3.36, the
. Consider the logistic regression model for Bernoulli response variable y; and predictor ; as
€80+812i
P(Yi = 1|xi)=1+0+1 for i = 1, 2, 3, 4
Suppose the maximum likelihood estimate of the parameters is (30, ẞ1)
estimated asymptotic variance of B1 is
1.71 approximately
4.36 approximately
O 12.82 approximately
2.19 approximately
Transcribed Image Text:= (-1.68, 0.26). If the observed values of predictor æ are 2.33, 1.96, 1.20, 3.36, the . Consider the logistic regression model for Bernoulli response variable y; and predictor ; as €80+812i P(Yi = 1|xi)=1+0+1 for i = 1, 2, 3, 4 Suppose the maximum likelihood estimate of the parameters is (30, ẞ1) estimated asymptotic variance of B1 is 1.71 approximately 4.36 approximately O 12.82 approximately 2.19 approximately
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