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Author Question: When adjusted R square increase significantly from the original linear model and residual plots show ... (Read 91 times)

SGallaher96

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on: Jun 24, 2018
When adjusted R square increase significantly from the original linear model and residual plots show more randomness, this is an indication of a ________.
 
  A) multiple linear regression
  B) stepwise regression
  C) best subsets regression
  D) curvilinear regression

Question 2

If the Solver reports that The Set Cell values do not converge., the linear optimization model ________.
 
  A) has alternate optimal solutions
  B) is infeasible
  C) is unbounded
  D) has a unique optimal solution
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mbcrismon

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Reply #1 on: Jun 24, 2018
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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SGallaher96

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Reply 2 on: Jun 24, 2018
Great answer, keep it coming :)

jamesnevil303

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Reply 3 on: Yesterday
Thanks for the timely response, appreciate it

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