Elance Exams Answers PDF file

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Which of the following is NOT essential for multiple regression modeling?

The sample population must be derived from a normally distributed population.
The model must be linear in parameters.
There must be no perfect collinearity among independent variables.
There must be more observations than independent variables to have enough degrees of freedom to make estimates.
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