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

question 148

Short Answer

The least squares method requires that the variance $\sigma _ { \varepsilon } ^ { 2 }$ 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: $\begin{array}{|l|l|}\hline\text { A. } & \text {multicollinearity. }\\\hline \text { B. } & \text {heteroscedasticity. } \\\hline \text { C. } &\text { homoscedasticity.}\\\hline \text { D. } &\text {autocorrelation. }\\\hline\end{array}$

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Definitions:

Discrimination

Discriminatory behavior towards various groups based on race, age, gender, or disability, which is unfair and biased.

Stereotyping

The act of assigning identical characteristics to any person in a group regardless of the actual variation among members of that group.

Social Scripts

Prescribed behaviors and expectations for individuals within specific social situations or roles, guiding how people should act and interact in various contexts.

Cognitive Dissonance

The mental unease felt by a person who simultaneously possesses multiple conflicting beliefs, ideas, or values.