diagnostics and assumptions, and fixing those issues True False Question 9 (1 point) The purpose of model validation is to check how well your y-variable explains the outcome of x-variables True False Question 10 (1 point) Which of the following is an incorrect way to check performances if you have two models Check train performance indicators of one model with the train performance indicators of the other model Check test performance indicators of one model with the test performance indicators of the other model Check train performance indicators of one model with the test performance indicators of the same model Check train performance indicators of one model with the test performance indicators of the other model