Can anybody please explain LL null intuitively or more precisely?

Hi Garrett, The logit model is: log(pi/1-pi) = log(odds) = beta0 + beta1*x1 + beta2*x2 + ... where log(odds) is the log-odds of an event occurring (success of en event), beta0 is the intercept, and x1, x2, ... are the predictors. Now, LL-Null is the log-odds of a model that has no predictors and contains just the intercept: log(odds) = beta0 Therefore, LL-Null is the log-odds of success of an event, estimated without reference to any predictors. Hope this helps! Best,The 365 Team

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Garrett Pratt

Last answered:

October 03, 2019

Posted on:

October 03, 2019

LL-null

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365 Team

Posted on:

October 03, 2019

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