3. A sample of flights from the Columbus airport is examined in order to understand how distance traveled is related to airfare. For this sample of flights, the relationship between distance traveled (in miles) and airfare (in dollars) is linear, with a correlation of r = 0.75. The regression equation that was constructed based on this sample of data is given below: Predicted airfare = 106.25 + 0.10 (distance traveled) From the above information, we can predict that a flight with a distance of 1000 miles will have an airfare equal to A. $1106.35. B. $116.25. C. $606.25. D. $550.25. E. $206.25