When we run a statistical model, we are in a sense creating a mathematical equation. The simplest regression model looks like this:

*Y _{i} = β_{0} + β_{1}X+ ε_{i}*

The left side of the equation is the sum of two parts on the right: the fixed component, β_{0} + β_{1}X, and the random component, ε_{i}.

You’ll also sometimes see the equation written [Read more…] about Count Models: Understanding the Log Link Function