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The Least Squares Method Requires That the Variance σε2\sigma _ { \varepsilon } ^ { 2 }

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The least squares method requires that the variance σε2\sigma _ { \varepsilon } ^ { 2 } of the error variable ε { \varepsilon } is a constant no matter what the value of x is. When this requirement is violated, the condition is called:


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