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

Question

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

Elizabeth Higgins · Accepted Answer

Final Answer : A, Explanation :  The statement The spread is changing suggests that there may be heteroscedasticity present in the data, which means that the variability of the residuals is different across the range of the predictor variable. This violates the assumption of homoscedasticity, which is necessary for linear regression models to be appropriate. Therefore, the model may not be appropriate.

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

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