Question: When we use a regression model to make predictions, we will usually over- or underestimate each score. The amount by which we over- or underestimate

When we use a regression model to make predictions, we will usually over- or underestimate each score. The amount by which we over- or underestimate a score is called

  1. the residual.
  2. the coefficient.
  3. the regression.
  4. the linearity.

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