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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:  A. multicollinearity.  B. heteroscedasticity.  C.  homoscedasticity. D. autocorrelation. \begin{array}{|l|l|}\hline\text { A. } & \text {multicollinearity. }\\\hline \text { B. } & \text {heteroscedasticity. } \\\hline \text { C. } &\text { homoscedasticity.}\\\hline \text { D. } &\text {autocorrelation. }\\\hline\end{array}

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Minimal phonetic units in a language that serve to distinguish words.

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The smallest units of language that carry meaning, including prefixes, roots, and suffixes.

Syntax

The set of rules, principles, and processes that govern the structure of sentences in a given language, especially in terms of word order.

Pragmatics

The study of how context influences the interpretation of meaning in linguistic interactions, focusing on the social rules and conventions that underlie language use.

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