Answer (C) is correct . Linear regression is based on several assumptions; for example, that there is no change in the environment, that errors in the values of the dependent variables are normally distributed with a mean of zero, that the standard deviation of these errors is constant, that the values of the dependent variables are statistically independent of each other, and that the independent variables are not correlated with each other. However, regression is only a means of predicting the future; it cannot provide certainty.
Answer (A) is incorrect because It is an assumption of the regression model.
Answer (B) is incorrect because It is an assumption of the regression model.
Answer (D) is incorrect because It is an assumption of the regression model.
|
