The data analyst found that the introduction of 'Hotel' to his model altered the log-likelihood from 1798 (the previous model) to 1786. How would you interpret this?
A) The model containing 'Hotel' makes no difference to the model
B) The model containing 'Hotel' is a better fit
C) The model containing 'Hotel' is a poor fit
D) The model containing 'Hotel' is a moderate fit

Question

Quizplus · Accepted Answer

A higher log-likelihood indicates a better fit for the model. Since the introduction of 'Hotel' has decreased the log-likelihood, it means that the model without 'Hotel' was a better fit. However, the difference in log-likelihood is small, so it is a moderate difference. Therefore, the best choice is B, as it states that the model containing 'Hotel' is a better fit.

The Data Analyst Found That the Introduction of 'Hotel' to His