Order of Checking Linear Regression Conditions
When performing inference for a linear regression model, several conditions must be verified. The primary conditions are:
- Linearity: The relationship between the variables is linear.
- Independence: The observations are independent.
- Homoscedasticity: The variance of the residuals is constant.
- Normality: The residuals are approximately normally distributed.
Which of the following presents the standard order for checking these conditions?
A
Independence, Linearity, Normality, Homoscedasticity
B
Homoscedasticity, Linearity, Independence, Normality (this sequence does not begin with assessing the fundamental linear pattern)
C
Linearity, Independence, Homoscedasticity, Normality
D
Normality, Homoscedasticity, Independence, Linearity
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