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2. Assumptions of OLS regression. Model is linear in parametersThe data are a random sample of the populationThe errors are statistically independent from one anotherThe expected value of the errors is always zeroThe independent variables are not too strongly collinearThe independent variables are measured preciselyThe residuals have constant varianceThe errors are normally distributed.

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