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Goal setting:
Independent Variables
Variables in an experiment or statistical model that are manipulated or categorized to determine their effect on dependent variables without being affected by any other variable in the model.
Homoscedasticity
A term in statistics describing a situation where all random variables across a dataset have the same finite variance.
Normality Of Errors
An assumption in many statistical models that the errors in the predictions are normally distributed.
Independence Of Errors
Pertains to a condition in statistical analyses where the errors of a model’s predictions are not correlated with each other.
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