Use the following regression equation regarding airline tickets to answer the question. Price = 49 + 0.22 - (Distance) Note that Distance is the amount of miles between the departure and arrival cities, and Price is the cost of an airline ticket. What is the expected ticket price for a ight between Los Angeles and New York City, which are 2448.3 miles apart? Use the following regression equation regarding car mileage to answer the question. Highway = 0.892 + 1.337 (City) Note that City is the estimated miles per gallon (mpg) a car gets while driving on city streets, and Highway is the estimated miles per gallon (mpg) a car gets while driving on highways. Interpret the slope in the context of the data. A) The slope is 0.892. For every additional mpg a car gets in the city, its highway mpg is predicted to increase by 0.892. B) The slope is 1.337. For every additional mpg a car gets in the city, its highway mpg is predicted to increase by 1.337. C) The slope is 0.892. If a car gets 0 mpg in the city, it will get 0.892 mpg on the highway. D) The slope is 1.337. If a car gets 0 mpg in the city, it will get 1.33? mpg on the highway. 6. The scatterplot shows the relationship between the foot lengths and foot widths of children. The coefficient of determination was found to be 41.09%. 9.5 9.0 Foot Width (in cm) 8.5 8.0. 22 23 24 25 26 27 Foot Length (in cm) Calculate the value of the correlation coefficient between a car's age and its current value. A) r= -0.4109 B) r=-0.6410 C) r = 0.4109 D) r = 0.6417. The scatterplot below shows the relationship between the average monthly temperature and the monthly cost of a gas bill. The correlation coefficient between the values is -0.92. 200 150- Gas Bill (in dollars) 100 50- 20 40 60 Temperature (in degrees F) The regression equation for the data is Gas Bill = 225.78 - 2.97 (Temperature) Do lower monthly temperature cause gas bills to be more expensive? Explain your reasoning