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Extrapolation in regression is the process of forecasting values outside the range of the sample data's x-values.

Describe extrapolation using an example.

  • A statistical technique called extrapolation aims to interpret the unknown data from the known data. It uses historical data to attempt to anticipate future data.
  • For instance, using the current population size and growth rate to project the size of a population in a few years.

If the population can have x-values equal to 0, the intercept is the estimated mean value of the dependent variable when the value of the independent variable is 0.

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