which of the following examples best describes collinearity ? Five variables are run in a regression and two are set as control variables. Three variables are run in a regression and are not highly correlated with each other. Two variables are run in a regression and one is dichotomous. Four variables are run in a regression and they are all highly correlated to each other. 1 points QUESTION 5 If you want to use a regression and one of your variables only has two choices (e.g., Yes or No), what should you do? Use a logistic regression Use a correlation instead Use the regression, but use one variable as a control Use a linear regression 1 points QUESTION 6 You use a logistic regression to test the relationship between having a dog (Yes or No) and score on a life satisfaction (1 -100 points). You find that r2 = .22 In vour own words, explain what this r2 value means