In a multiple regression model, the probability distribution of the error variable e is assumed to be:
A)normal.
B)non-normal.
C)positively skewed.
D)negatively skewed.

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In a multiple regression model, the assumption is that the error term (e) follows a normal distribution. This assumption allows for the use of various statistical tests that rely on normality.

In a Multiple Regression Model, the Probability Distribution of the Error