Question

Which of the following statements is true?

a. For a logistic regression model, R-squared represents the proportion of variation in the response that is explained by the predictor variables
b. Bigger AIC values indicate model improvement
c. The model fit statistics in the R output for logistic regressions are generated during maximum likelihood estimation process
d. We will rely on AIC in this class for determining model fit

Answer 1

a. For a logistic regression model, R-squared represents the proportion of variation in the response that is explained by the predictor variables. b. Bigger AIC values indicate model improvement. c. The model fit statistics in the R output for logistic regressions are generated during maximum likelihood estimation process.d. We will rely on AIC in this class for determining model fit.

Step-by-step explanation:

a. For a logistic regression model, R-squared represents the proportion of variation in the response that is explained by the predictor variables.

b. Bigger AIC values indicate model improvement.

c. The model fit statistics in the R output for logistic regressions are generated during maximum likelihood estimation process.

d. We will rely on AIC in this class for determining model fit.

In logistic regression, the R-squared value represents the proportion of variation in the response variable that can be explained by the predictor variables. It shows how well the model fits the data. Bigger AIC values indicate worse model fit, not improvement. Model fit statistics in logistic regressions are indeed generated during the maximum likelihood estimation process. AIC is commonly used to determine model fit, but it has its limitations and other measures like BIC can be considered.