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Author Question: Shrinkage refers to (Read 30 times)

mckennatimberlake

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on: Mar 8, 2019
Shrinkage refers to
◦ lowered accuracy in a prediction equation when it is applied to a new sample.
◦ effects of unreliable instruments underestimating the correlation.
◦ combining many variables in order to predict the most amount of variance.
◦ a measure of the error found in a regression equation.


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Marked as best answer by mckennatimberlake on Mar 8, 2019

wtf444

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Reply #1 on: Mar 8, 2019
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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mckennatimberlake

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Reply 2 on: Mar 8, 2019
Wow, this really help


diana chang

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Reply 3 on: Yesterday
YES! Correct, THANKS for helping me on my review

 

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