Linear regression is a statistical method used to understand the relationship between an outcome variable and one or more explanatory variables. It works by fitting a regression line through the ...

Root cause analysis: The size, direction (positive or negative), and statistical significance of each slope provides us with a better understanding of the factors that might cause variation in the ...

Some regression isn’t great, though. If you want a fun historical example, go back to 2002, when Barry Bonds and Rich Aurilia combined for 110 home runs, the second-highest combined total from ...