The multiple linear regression model assumes:
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the mean error is zero, error variance is nonconstant, and the errors are independent and normally distributed.
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the mean error is not zero, error variance is constant, and the errors are independent and normally distributed.
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the sample size is large (at least 30), and errors are independent and normally distributed.
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the mean error is zero, error variance is constant, and the errors are independent and normally distributed.