Match each r2 value to the type of relationship it represents. 12 = .01 A. Moderate Relationship r2 =.50 B. Perfect Relationship 12 = .80 C. No Relationship D. Strong Relationship 12 = 1 QUESTION 2 Which of the following is NOT a requirement to run a regression? Data is taken from non-random samples Has an assumption that there is a linear relationship between variables Includes a large dataset or normally distributed dataset Uses an interval level of measurement for the data QUESTION 3 After running a regression, you find the coefficient of determination (r2) equals .39. What is the coefficient of non-determination (1-r2) for this data? QUESTION 4 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. Four variables are run in a regression and they are all highly correlated to each other. O Two variables are run in a regression and one is dichotomous