Which of the following is/are the similarities between the Partial F test (in linear regression) and the chi-squared test (for GLMs)? Please select all that apply. It's possible that there is only one correct answer. In both tests, the simple model needs to be nested within the complicated model Both tests compare two logistic regression models In both tests, rejecting the null hypothesis means that the complicated model is preferred to the simple model. The test statistics in both tests have the F distribution