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Question 24

Multiple Choice

Use the following information to answer the question. Below is the scatterplot showing the association between raw material (in tons) put into an injection molding machine each day (x) , and the amount of scrap plastic (in tons) that is collected from the machine every 4 weeks (y) . The residual plot of the data is also shown along with a QQ plot of the residuals.
Use the following information to answer the question. Below is the scatterplot showing the association between raw material (in tons) put into an injection molding machine each day (x) , and the amount of scrap plastic (in tons) that is collected from the machine every 4 weeks (y) . The residual plot of the data is also shown along with a QQ plot of the residuals.      -Choose the statement that best describes whether the condition for normality of errors does or does not hold for the linear regression model. A) The residual plot shows no trend, therefore the normality condition is not satisfied. B) The residual plot does not display a fan shape, therefore the normality condition is satisfied. C) The QQ plot mostly follows a straight line, therefore the normality condition is satisfied. D) The residual plot shows no trend, therefore the normality condition is satisfied. Use the following information to answer the question. Below is the scatterplot showing the association between raw material (in tons) put into an injection molding machine each day (x) , and the amount of scrap plastic (in tons) that is collected from the machine every 4 weeks (y) . The residual plot of the data is also shown along with a QQ plot of the residuals.      -Choose the statement that best describes whether the condition for normality of errors does or does not hold for the linear regression model. A) The residual plot shows no trend, therefore the normality condition is not satisfied. B) The residual plot does not display a fan shape, therefore the normality condition is satisfied. C) The QQ plot mostly follows a straight line, therefore the normality condition is satisfied. D) The residual plot shows no trend, therefore the normality condition is satisfied.
-Choose the statement that best describes whether the condition for normality of errors does or does not hold for the linear regression model.


A) The residual plot shows no trend, therefore the normality condition is not satisfied.
B) The residual plot does not display a fan shape, therefore the normality condition is satisfied.
C) The QQ plot mostly follows a straight line, therefore the normality condition is satisfied.
D) The residual plot shows no trend, therefore the normality condition is satisfied.

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