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What is a lurking variable? A. A lurking variable is a response variable that was not considered in a study, but is also affected by the casual relationship of the explanatory variables in the study. In addition, lurking variables are typically related to response variables in the study. B. A lurking variable is a quantitative variable that has either a finite number of possible values or a countable number of possible values. In addition lurking variables are typically equal to zero, or almost equal to zero. C. A lurking variable is an explanatory variable that was not considered in a study, but that affects the value of the response variable in the study. In addition, lurking variables are typically related to explanatory variables in the study. D. A lurking variable is a quantitative variable that has an infinite number of possible values that are not countable. In addition, lurking variables are Diflult, if not impossible, to include in a study.

Ask by Potter Bush. in the United States
Jan 22,2025

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A lurking variable is an unaccounted explanatory variable that affects the response variable in a study.

Solution

The correct definition of a lurking variable is: **C. A lurking variable is an explanatory variable that was not considered in a study, but that affects the value of the response variable in the study. In addition, lurking variables are typically related to explanatory variables in the study.** ### Explanation: - A lurking variable is an unobserved variable that can influence both the explanatory and response variables in a study, potentially leading to misleading conclusions about the relationships being studied. - It is not included in the analysis but can affect the results, making it crucial to consider in research design and interpretation.

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A lurking variable can be like an unexpected guest at a party – it shows up without an invitation and can change the vibe without anyone realizing it! It’s that hidden factor that influences both the independent and dependent variables, often leading researchers astray if they don’t account for it. Think of it like a mischievous sprite pulling the strings behind the curtain. In practical terms, consider a study examining the relationship between exercise and weight loss. If the lurking variable is diet, which was ignored, the conclusions drawn might be misleading. In this case, the exercise may appear less effective if the diet is not controlled. Understanding lurking variables helps to create more accurate models and clearer insights!

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