Statistics - (No Predictor|Mean|Null) Model

Thomas Bayes


The simplest prediction in a regression that you can imagine is:

  • using the mean of the target (<math>\bar{Y}</math> ) as prediction
  • ie choosing a slope of 0

The mean model is also known as the “No Model”.

With this model, the error RSS is equal to TSS.

The null model has no predictors. It just contains one intercept where the intercept is the mean of Y.

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