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The Least Squares Method Requires That the Variance of the Error

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The least squares method requires that the variance The least squares method requires that the variance   of the error variable  is a constant no matter what the value of x is.When this requirement is violated, the condition is called: A)  heteroscedasticity. B)  homoscedasticity. C)  influential observation. D)  non-independence of  . of the error variableThe least squares method requires that the variance   of the error variable  is a constant no matter what the value of x is.When this requirement is violated, the condition is called: A)  heteroscedasticity. B)  homoscedasticity. C)  influential observation. D)  non-independence of  . is a constant no matter what the value of x is.When this requirement is violated, the condition is called:


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