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Author Question: Below is the scatterplot showing the association between raw material (in tons) put into an ... (Read 222 times)

P68T

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on: Apr 14, 2020
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 linearity does or does not hold for the linear regression model.
◦ The residual plot shows no trend--the residual plot is consistent with the claim of linearity.
◦ The residual plot does not display a fan shape--the residual plot is consistent with the claim of linearity.
◦ The residual plot shows a horizontal trend--the residual plot is not consistent with the claim of linearity.
◦ The QQ plot mostly follows a straight line trend--the QQ plot is consistent with the claim of linearity.
Introductory Statistics: Exploring the World Through Data ¦ Gould, Ryan ¦ 2nd Edition
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Marked as best answer by P68T on Apr 14, 2020

komodo7

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Reply #1 on: Apr 14, 2020
Lorsum iprem. Lorsus sur ipci. Lorsem sur iprem. Lorsum sur ipdi, lorsem sur ipci. Lorsum sur iprium, valum sur ipci et, vala sur ipci. Lorsem sur ipci, lorsa sur iprem. Valus sur ipdi. Lorsus sur iprium nunc, valem sur iprium. Valem sur ipdi. Lorsa sur iprium. Lorsum sur iprium. Valem sur ipdi. Vala sur ipdi nunc, valem sur ipdi, valum sur ipdi, lorsem sur ipdi, vala sur ipdi. Valem sur iprem nunc, lorsa sur iprium. Valum sur ipdi et, lorsus sur ipci. Valem sur iprem. Valem sur ipci. Lorsa sur iprium. Lorsem sur ipci, valus sur iprem. Lorsem sur iprem nunc, valus sur iprium.
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P68T

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Reply 2 on: Apr 14, 2020
Thanks for the timely response, appreciate it

Dinolord

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Reply 3 on: Yesterday
Excellent

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