The linear model is the foundation for much of statistical hypothesis testing. As such, it should be a foundational part of any scientist’s education and career. Unfortunately, it is frequently misunderstood. Here I attempt to explain the linear model with the hope of bringing clarity to the topic.
The linear model is based on the equation for a line, something we all learned in grade school geometry.
y = mx + b Here y is a vector of our response or dependent variables.
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