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Author Question: To determine if there are outliers in a least squares regression model's data set, we could ... (Read 108 times)

nramada

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on: Jan 16, 2020
To determine if there are outliers in a least squares regression model's data set, we could construct a boxplot of the
◦ response variables.
◦ residuals.
◦ lurking variables.
◦ predictor variables.
Statistics: Informed Decisions Using Data ¦ Sullivan ¦ 5th Edition
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Marked as best answer by nramada on Jan 16, 2020

spencer.martell

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Reply #1 on: Jan 16, 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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nramada

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Reply 2 on: Jan 16, 2020
Thanks for the timely response, appreciate it

marict

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Reply 3 on: Yesterday
Wow, this really help

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