3.3 Using the Formula for a Fitted Line


  • After fitting a model to a dataset (through linear regression), we can use that model to estimate values we don’t have data points for.
  • When estimating values that lie within the range of available raw data points, we refer to it as interpolating.
  • Interpolation is considered accurate if the fit has high strength and sufficient data points were used.

Example: if a linear fit is creating using data points ranging in value from 1 to 10, estimating the value of the response variable when the explanatory variable has a value of 2 would be considered interpolation.


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