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  1. Topics
  2. Statistics
  3. Stats Data and Models Study Set 1
  4. Quiz 7: Linear Regression

Question 41
Multiple Choice

img A)Model is not appropriate.The relationship is nonlinear. B)Model is appropriate. C)Model may not be appropriate.The spread is changing.

Related questions
Q 42
A)Model may not be appropriate.The spread is changing. B)Model is appropriate. C)Model is not appropriate.The relationship is nonlinear.
Q 43
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.
Q 44
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.
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