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Author Question: For the least-squares regression model, yi = 0 + 1xi + i, the predictor variable must be normally ... (Read 101 times)

DelorasTo

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on: Jan 16, 2020
For the least-squares regression model, yi = β0 + β1xi + εi, the predictor variable must be normally distributed.  To show that this is true, the must also be normal.
◦ standard error of the estimate
◦ variability
◦ explanatory variable
◦ residuals
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Marked as best answer by DelorasTo on Jan 16, 2020

otokexnaru

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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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DelorasTo

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Reply 2 on: Jan 16, 2020
Wow, this really help

apple

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Reply 3 on: Yesterday
Gracias!

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