residual analysis is conducted to check whether regression assumptions are met. which of the following is not an assumption made in simple linear regression?
A) Linearity: The relationship between the independent and dependent variables is assumed to be linear.
B) Independence: Observations are assumed to be independent of each other.
C) Homoscedasticity: The variance of the residuals is assumed to be constant across all levels of the independent variable.
D) Multicollinearity: There should be no perfect multicollinearity among the independent variables.
E) Normality: The residuals are assumed to be normally distributed.