Assumptions are specific conditions that must be met for statistical methods to provide accurate results. In statistics, assumptions help ensure that models and analyses are valid and reliable.
Related terms
Linearity: An assumption stating that there is a linear relationship between predictors and the response variable.
Homoscedasticity: An assumption stating that the variability of the residuals is consistent across all levels of predictors.
Independence: An assumption stating that observations are not influenced by each other.