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Author Question: Residuals are . . . A) none of these B) possible models not explored by the researcher. C) ... (Read 126 times)

haleyc112

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on: Jul 25, 2018
Residuals are . . .
 
  A) none of these
  B) possible models not explored by the researcher.
  C) variation in the data that is explained by the model.
  D) data collected from individuals that is not consistent with the rest of the group.
  E) the difference between observed responses and values predicted by the model.

Question 2

All but one of these statements contain a mistake. Which could be true?
 
  A) There is a high correlation (1.09 ) between height of a corn stalk and its age in weeks.
  B) The correlation between the amount of fertilizer used and the yield of beans is 0.42.
  C) The correlation between a car's length and its fuel efficiency is 0.71 miles per gallon.
  D) The correlation between a football player's weight and the position he plays is 0.54.
  E) There is a correlation of 0.63 between gender and political party.
Stats: Modeling the World ¦ Bock, Velleman, De Veaux ¦ 4th Edition
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BUTTHOL369

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Reply #1 on: Jul 25, 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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haleyc112

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Reply 2 on: Jul 25, 2018
Wow, this really help

6ana001

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

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