Which is not true regarding an Ordinary Least Squares assumption? A) autocorrelation in error terms B) linear relationship between independent and dependent variable C) error terms have homoscedasticity D) error terms and independent variable correlate What is true regarding the standard error of regression? A) square root of r-squared B) decreases as explanatory variables increase C) results by square rooting the sum of squared residuals
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