APFIVE Order of Checking Linear Regression Conditions
When diagnosing a linear regression model, which of the following sequences reflects the typical order in which you check the primary assumptions? Rank these assumptions in the order they are usually assessed, starting with the assumption most fundamental to model validity.
TITLE: Linear Regression Assumptions: #000000
| Assumption | Description |
|---|---|
| Linearity | The relationship between variables is linear |
| Independence | Observations are independent |
| Homoscedasticity | Constant variance of the residuals |
| Normality | Residuals are normally distributed |
A
Homoscedasticity, Linearity, Independence, Normality (this sequence does not begin with assessing the fundamental linear pattern)
B
Normality, Homoscedasticity, Independence, Linearity
C
Linearity, Independence, Homoscedasticity, Normality
D
Independence, Linearity, Normality, Homoscedasticity
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