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A Scatterplot, Residual Plot, and a Boxplot of Residuals from the Minitab

Question 56

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A scatterplot, residual plot, and a boxplot of residuals from the Minitab output are based on summary quantities given for x = Weight of a fully-grown green iguana (in kilograms) and y = Length of its tail (in centimeters) . Does it appear that the assumptions of the simple linear regression model are plausible? ​ A scatterplot, residual plot, and a boxplot of residuals from the Minitab output are based on summary quantities given for x = Weight of a fully-grown green iguana (in kilograms)  and y = Length of its tail (in centimeters) . Does it appear that the assumptions of the simple linear regression model are plausible? ​       ​ A)  Yes, all the graphs show that a linear regression model is reasonable. B)  No, because the magnitude of residuals tends to decrease as the weight of species increases. C)  No, because the scatterplot shows that a curvilinear regression model is appropriate. D)  No, because the boxplot shows that vertical deviations are not normally distributed. E)  No, because some curvature is evident on the residual plot. A scatterplot, residual plot, and a boxplot of residuals from the Minitab output are based on summary quantities given for x = Weight of a fully-grown green iguana (in kilograms)  and y = Length of its tail (in centimeters) . Does it appear that the assumptions of the simple linear regression model are plausible? ​       ​ A)  Yes, all the graphs show that a linear regression model is reasonable. B)  No, because the magnitude of residuals tends to decrease as the weight of species increases. C)  No, because the scatterplot shows that a curvilinear regression model is appropriate. D)  No, because the boxplot shows that vertical deviations are not normally distributed. E)  No, because some curvature is evident on the residual plot. A scatterplot, residual plot, and a boxplot of residuals from the Minitab output are based on summary quantities given for x = Weight of a fully-grown green iguana (in kilograms)  and y = Length of its tail (in centimeters) . Does it appear that the assumptions of the simple linear regression model are plausible? ​       ​ A)  Yes, all the graphs show that a linear regression model is reasonable. B)  No, because the magnitude of residuals tends to decrease as the weight of species increases. C)  No, because the scatterplot shows that a curvilinear regression model is appropriate. D)  No, because the boxplot shows that vertical deviations are not normally distributed. E)  No, because some curvature is evident on the residual plot.


A) Yes, all the graphs show that a linear regression model is reasonable.
B) No, because the magnitude of residuals tends to decrease as the weight of species increases.
C) No, because the scatterplot shows that a curvilinear regression model is appropriate.
D) No, because the boxplot shows that vertical deviations are not normally distributed.
E) No, because some curvature is evident on the residual plot.

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