This observed form of the data is important because it causes problems with estimated regression coefficients.

The latter question is answered by the confidence intervals for the regression coefficients.

These quantities would be used to calculate the estimates of the regression coefficients, and their standard errors.

In our parameterization, the regression coefficients are tests for detection.

Its elements are also called effects, or regression coefficients.

Note that we have introduced separate sets of regression coefficients, one for each possible outcome.

To do so, they will want to examine the regression coefficients.

In such a model, it is natural to model each possible outcome using a different set of regression coefficients.

Separate sets of regression coefficients need to exist for each choice.

A test of regression coefficients in published papers showed agreement with Benford's law.