Understanding Assumptions in Multiple Regression Analysis

Very Easy Multiple Regression Analysis Model Assumptions

Multiple regression analysis is a statistical technique used to model the relationship between a dependent variable and two or more independent variables. In constructing a multiple regression model, certain assumptions must be satisfied to ensure that the results are valid and interpretable.

Which of the following is NOT an assumption of multiple regression analysis?

The residuals are normally distributed.

The independent variables are perfectly correlated.

There is a linear relationship between the dependent and independent variables.

Hint

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