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residuals are A. data collected from individuals that is not consistent with the rest of the group. B. the difference between observed responses and values predicted by the model. C. possible models not explored by the researcher. D. variation in the data that is explained by the model.

Respuesta :

Limosa

Answer:

Option B is correct.

Explanation:

Residuals are the variance between that of examined reactions as well as the values estimated through that methods.

  • The residual value seems to be the vertical difference among both that information set as well as the regression axis.  
  • Every information set seems to have a residual part.
  • It is a quantity that leftover after the certain objects which have been deducted or authorized.

So, the following are the reason that describes the other option is not appropriate according to the given scenario.

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