The following data is the weight of a car versus its stopping distance in feet. Weight/distance:(5720/2.19, 4050/1.36, 6130/2.58, 5000/1.74, 5010/1.78, 4270/1.69, 5500/1.80, 5550,1.87). A. What are the predictor and response variables? B. Interpret the correlation coefficient. C. If a linear model is appropriate, find the regression line that best fits the data. D. Interpret the parameters if appropriate. E. What is the expected stopping distance for a car that weighs 5600 Pounds? 6200 Pounds? 5000 Pounds? F. Do cars that weigh 5000 Pounds have a stopping distance above or below the average? What is its residual? G. Are there any outliers in the data?