A healthcare executive is using regression to predict total revenues. She is deciding whether or not to include both patient length of stay and insurance type in her model. Her first regression model only included patient length of stay. The resulting r ² was .83, with an adjusted r ² of .82 and her level of significance was .003. In the second model, she included both patient length of stay and insurance type. The r ² was .84 and the adjusted r ² was .80 for the second model and the level of significance did not change. Which of the following statements is true?
(a) The second model is a better model.

(b) The first model is a better model.

(c) The r ² increased when additional variables were added because these variables significantly contribute to the prediction of total revenues.

(d) The adjusted r ² always increases when additional variables are added to the model.

(e) None of the above statements are true.