Explain the assumption of homoscedasticity in Simple Linear Regression.
- All Errors are Zero
- All Variables are Independent
- Equal Variance of Errors for All Values of X
- Linearity between Variables
Homoscedasticity is an assumption that the variability of the errors is constant across all levels of the independent variable(s). If this assumption is violated, it can lead to inefficiency in the estimates.
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