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Linear regression (OLS, assumptions)
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144.
Core OLS Assumptions
easy
Which of the following is a core assumption of OLS linear regression?
A
The residuals have constant variance across all levels of the fitted values
B
The number of observations must exceed the number of features by at least a factor of 10
C
The target variable must be bounded between 0 and 1 for the model to be well-specified
D
The features must be normally distributed for the coefficient estimates to be unbiased
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