Sorry for the chart organization as 19.6 is mileage and sale price is 28.3 grouped like this and then the next two go along in the same pattern and I have a picture that could only fit in the questions so if you can please answer all questions right as I can not.While investigating how a car's odometer reading (mileage) affects its sale price, a researcher collects data for the sale price of 43 used (preowned) 2020 Nissan Altimas of the same trim level (package). Mileage is in thousands of km and Sale Price is in thousands of dollars. Mileage('000km)Sale_Price($'000)19.628.342.622.022.725.847.024.644.627.738.022.514.929.873.125.074.923.641.228.08.026.340.527.250.527.179.522.475.020.848.725.237.524.59.131.418.027.49.631.331.623.053.323.012.628.85.330.834.022.814.925.840.326.151.726.063.925.840.624.146.523.522.327.039.125.276.320.570.323.245.221.610.326.368.622.340.028.213.930.975.218.653.221.07.125.61. options: milege/ sales price2. First options: strong/very weak/weakegative/positive and Second options: increase/ decrease 3. First options: yes it does/ no it doesn't and Second options: because the slope can't be zero/ because car mileage cant be zero/ because the slope can be negative/ because the intercept can be negative/ because the intercept can be zero 4. Options: neutral/ strong/ weak/ very weak

1. The independent variable is |Select an answer 2. The slope of the regression equation for the linear relationship This indicates that the relationship is |Select an answer v Thus, as Mileage increases, Sale Price |Select an answer on average. 3. The y-intercept = Considering these are used cars, does the y- intercept have a practical meaning for these data? Select an answer V Why? |Select an answer 4. The correlation coefficient = This indicates a Select an answer v | linear relationship. 5. The percentage of the variation in Sale Price that is explained by Mileage (to 2 decimal places) is 6. Use the unrounded results from regression output to predict the sale price of one of these cars with a mileage of 36,710 km. Report your answer to the nearest dollar. Do not round intermediate results. Predicted Sale Price - $