Question

Which of the following statements is NOT correct?

a. For a logistic regression model, we can see how the predictors might change the odds of an outcome
b. If a coefficient is insignificant in our logistic regression model, we should remove it from our model
c. In a logistic regression hypothesis test, we are testing to see whether each intercept and slope is equal to 0, essentially whether that coefficient is significantly contributing to the model
d. For a logistic regression model, we can see how the predictors change the outcome directly

Answer 1

The correct statement is that if a coefficient is insignificant in a logistic regression model, we should remove it from the model.

Step-by-step explanation:

The correct statement is:

1. If a coefficient is insignificant in our logistic regression model, we should remove it from our model

In logistic regression, we use the coefficient estimates of the predictors to understand how they might change the odds of the outcome (statement a). However, the significance of a coefficient should not be the sole criterion for removing it from the model (statement b). In hypothesis testing for logistic regression, we are indeed testing whether each intercept and slope is equal to 0 (statement c). Finally, logistic regression allows us to see how the predictors indirectly affect the outcome, not directly (statement d).