Answer Happy

The weight of a car in pounds) can influence the mileage in mpg) that the centain. A random sample of 18 cars was taken and the weight and age were recorded for each. The data are in the table below X, weight (in pounds) Y, mileage in me 2500 32.6 4000 23.4 6000 2016 2250 523 2500 40.9 3000 222 2250 18.9 4500 17 2750 3500 3000 31.5 3500 4500 172 4500 19.5 2250 41.1 4000 211 3000 31.4 3000 11.4 Find the equation of the best fitting the the last Quares regression equation Round values to decimal place Include the restricted domain equation restricted domaine 2250 pounds -X 4500 pounds c) interpret the slope from part in the context of this problem. Pay attention to the units • Every time we increase by 1 Pound we can expect Ger Mpg on were e) Interpret the intercept from part in the content of this problem. Include units Pounds we expect to be Mog

• When • When Pounds to be Mpg Does it make sense to interpret the intercept on this problemi Why or why not? Should you use the regression equation to predict the mileage of a randomly selected car that has a weight 3637 pounds? Should you use the regression equation to predict the mileage of a randomly selected car that has a weight of 6700 pounds Looking at your answers above, predict the mileage for the one above that it made sense to do so. Make sure you use the stored equation and not the rounded equation from parte Round final answer to decimal places Make sure you use the stored equation and not the rounded equation from partc. Pound final answer to 3 decimal places • The predicted mileage for a randomly selected or that has a weight of pounds B) Compute the residual for the following ordered para the data: (3000, 31.4) Make sure you use the stored equation and not the rounded equation from parte Round final answer to 3 decimal places. The residual for the car with a weight of 3000 pounds Interpret what this value means in the context of this problem . The actual mileage of a randomly selected car with a weight of 3000 pounds is what was predicted