# Check model for (non-)constant error variance

Source:`R/check_heteroscedasticity.R`

`check_heteroscedasticity.Rd`

Significance testing for linear regression models assumes that the model errors (or residuals) have constant variance. If this assumption is violated the p-values from the model are no longer reliable.

## Value

The p-value of the test statistics. A p-value < 0.05 indicates a non-constant variance (heteroskedasticity).

## Details

This test of the hypothesis of (non-)constant error is also called
*Breusch-Pagan test* (1979).

## Note

There is also a `plot()`

-method implemented in the see-package.