Linear models are statistical tools used to describe the relationship between one dependent variable and one or more independent variables through a linear equation. They assume that changes in the independent variable(s) will result in proportional changes in the dependent variable, making them useful for prediction and analysis. In the context of multiple comparison procedures, linear models help to evaluate the differences among groups when assessing multiple hypotheses simultaneously.
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