Practice question
Question
In a regression model, a situation in which the error term is same or constant across all values of the independent variables is known as:
Explanation
Ordinary least squares assumes homoscedasticity meaning error variance remains constant across independent variable range. Violation heteroscedasticity causes inefficient estimates. Graphical residual plots detect non-constant variance, while multicollinearity concerns correlation among predictors, not error variance consistency.
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