The Least Squares Method Requires That the Variance $\sigma _ { z } ^ { 2 }$

question 38

Multiple Choice

The least squares method requires that the variance $\sigma _ { z } ^ { 2 }$ of the error variable $\varepsilon$ 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 \(\varepsilon\).

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Definitions:

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The links between neurons in the brain that are the basis for learning, memory, and thought processing.

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The ability of the brain to change and adapt in response to experience, injury, or environment, altering its structure and functioning.

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