The data below contains mileage, age, and selling price for a sample of 33 sedans. Price Mileage Age 16,998 35,000 3 17,599 16,000 3 15,998 42,000 3 15,998 62,000 4 11,599 102,000 7 12,998 109,000 4 14,998 60,000 5 11,599 88,000 9 12,599 58,000 8 14,998 27,000 6 15,998 32,000 3 Price Mileage Age 11,599 95,000 8 9,499 123,000 8 14,599 54,000 5 10,599 68,000 10 16,998 40,000 4 20,998 7,000 0 11,599 80,000 9 12,599 70,000 6 13,599 86,000 5 11,599 92,000 7 9,599 120,000 10 Price Mileage Age 18,998 20,000 2 12,599 63,000 7 12,599 70,000 6 10,998 88,000 10 11,998 86,000 6 13,998 60,000 6 17,599 45,000 2 9,998 95,000 11 9,998 60,000 11 16,998 36,000 2 17,599 45,000 2 #1) Is multicollinearity an issue for this model? Find the correlation between the independent variables to answer this question.(Round your answer to two decimal places.) The correlation between age and mileage is: ____________     #2) Find the value of the test statistic for ?2. (Round your answer to two decimal places.)  Find the p-value for ?2. (Round your answer to four decimal places.)

Definition Definition Relationship between two independent variables. A correlation tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.