A)Model is not appropriate.The relationship is nonlinear. B)Model is appropriate. C)Model may not be appropriate.The spread is changing.
A)Model may not be appropriate.The spread is changing. B)Model is appropriate. C)Model is not appropriate.The relationship is nonlinear.
One of the important factors determining a car's fuel efficiency is its weight.This relationship is examined for 11 cars,and the association is shown in the scatterplot below. If a linear model is considered,the regression analysis is as follows: Dependent variable: MPG R-squared = 84.7% VARIABLE COEFFICIENT Intercept 47.1181 Weight -7.34614 The residuals plot is: Based upon the residuals plot,do you think that this linear model is appropriate? A)Yes,residuals show no pattern. B)Yes,residuals show a linear pattern. C)No,residuals show a curved pattern. D)No,residuals show no pattern. E)Yes,residuals show a curved pattern.
Doctors studying how the human body assimilates medication inject some patients with penicillin,and then monitor the concentration of the drug (in units/cc)in the patients' blood for seven hours.First they tried to fit a linear model.The regression analysis and residuals plot are shown.Is that estimate likely to be accurate,too low,or too high? Explain.