What does the log-likelihood measure? A) The number of degrees of freedom in relation to the parameter set for the model B) The way in which observed and predicted values fit the model of regression* C) The value of the correlation coefficient R and its corresponding R² value D) None of the above

Question

Quizplus · Accepted Answer

The log-likelihood measure is a statistical concept used in maximum likelihood estimation to compare models. It measures the goodness of fit of a model by calculating the probability of seeing the observed data, given the estimated parameters. A higher log-likelihood value indicates a better fit of the model to the data. Therefore, the best choice in this case is B, as it correctly describes the log-likelihood as a measure of the fit between observed and predicted values.

What Does the Log-Likelihood Measure