Analyses with linear models assume that the measurements of every combination of explanatory variable have a normal distribution in their population.

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Linear models, such as linear regression, assume that the residuals (differences between observed and predicted values) are normally distributed for any combination of explanatory variables. This assumption allows for the use of parametric statistical tests to make inferences about the population parameters.

Analyses with Linear Models Assume That the Measurements of Every