4.4 Assumptions of the Regression Model

If we can make certain assumptions about the errors in a regression model, we can perform statistical tests to determine if the model is useful. The following assumptions are made about the errors:

  1. The errors are independent.

  2. The errors are normally distributed.

  3. The errors have a mean of zero.

  4. The errors have a constant variance (regardless of the value of X).

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