the question is that

While investigating how a car's odometer reading [mileage] affects its sale price. a researcher collects data for the sale price of 4? used [preownedl 2019 Toyota Cam rvs of the same trim level {package}. Mileage is in thousands of lrm and Sale Price is in thousands of dollars. Download csv file Use software to generate a linear regression output for the data. Report numeric answers accurate to at least 4 decimal places or copyr output results and paste directly into the boxes. '1. The independent variable is ~/ i. 2. The slope of the regression equation for the linear relationship = 411095 at This indicates that the relationship is _~" . Thus. as Mileage increases. Sale Price *'I on average. 3. The [pr-intercept = ZBEUTt x . Considering these are used cars. does the v- intercept have a practical meaning for these data? --" l . Why? Because car milea.e can't be zero. at v\" I 4. The correlation coefficient = E|_TI"1E1 x . This indicates a linear relationship. 5. The percentage of the variation in Sale Price that is explained by Mileage [to 2 decimal places] is i151 X %. 6. Use the unrou nded results from regression output to predict the sale price of one of these cars with a mileage of 32.34'3 km. Report your answer to the nearest dollar. Do not round intermediate results. Predicted Sale Price = $