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residua

residua

9.9
Differences between actual values and values a data model predicts
  • noun
  • /rɪˈzɪdʒuə/
  • Specialized
translation icon : residuo
  • Large residua may indicate that the model does not fit the data well.

Examples

  • The residua in the analysis indicated a poor fit of the model.

  • In regression analysis, the residua help to evaluate the model's accuracy.

  • The statistician plotted the residua to check for any patterns in the regression analysis.

  • Researchers examined the residua to ensure the assumptions of the statistical model were met.

  • The statistician plotted the residua to check for any patterns in the regression analysis.

  • Large residua may indicate that the model does not fit the data well.

  • Researchers examined the residua to ensure the assumptions of the statistical model were met.

Surface Forms

residuum singular
residua plural

Morphology

residua = residue (opaque) = residu + a

The suffix 'a' does not follow a standard English morphological pattern and the specific statistical meaning is specialized.

Etymology

Residua comes from an old Latin word made of re- 'back' and sidere 'to sit', so it originally meant things that 'stay behind'. In statistics, residua are the differences left after a model makes predictions, so they are the values that 'remain' and show what the model did not explain.