Logistic regression - computing log odds without probabiliti, Advanced Statistics

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: Let’s consider the logistic regression model, which we will refer to as Model 1, given by
log(pi / [1-pi]) = 0.25 + 0.32*X1 + 0.70*X2 + 0.50*X3 (M1),
where X3 is an indicator variable with X3=0 if the observation is from Group A and X3=1 if the observation is from Group B. The likelihood value for this fitted model on 100 observations is 0.0850.
(4) (6 points) For X1=2 and X2=1 compute the log-odds for each group, i.e. X3=0 and X3=1.

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