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Parsimony Principle
The Parsimony Principle, often used in scientific research, is the idea that the simplest explanation is usually correct, encouraging minimal assumptions.
Independent Variables
Variables in a statistical model that are manipulated or categorised to determine their effect on dependent variables.
Multicollinearity
A statistical phenomenon where two or more predictor variables in a multiple regression model are highly correlated, potentially distorting estimates and making the model unreliable.
Bonferroni Criterion
A statistical adjustment method used to reduce the chance of obtaining false-positive results (Type I error) when multiple hypothesis tests are performed.
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