Definition of lurking variable, from the Stat Trek dictionary of statistical terms and concepts. This statistics glossary includes definitions of all technical terms
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It is called the independent variable. For example if you are trying to find y: y = x+1 X is the independent variable, and Y is the dependent variable.
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Faults in your drive: Some plants are installing ground-fault relays after learning that their VFD systems aren't protected from ground faults.
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My past several posts have detailed confounding variables, a problem you might encounter in research or quality improvement projects. To recap, confounding variables
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In statistics, a confounding variable (also confounding factor, a confound, or confounder) is an extraneous variable in a statistical model that correlates (directly
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Lurking Variable :
Ratings : 34 %
Definition of lurking variable, from the Stat Trek dictionary of statistical terms and concepts. This statistics glossary includes definitions of all technical terms
Read More
Ratings : 56 %
Wonderful Statistics time :
Ratings : 74 %
Independent, Dependent and Confounding Variables in Quantitative Research :
Ratings : 73 %
It is called the independent variable. For example if you are trying to find y: y = x+1 X is the independent variable, and Y is the dependent variable.
Read More
Ratings : 57 %
Faults in your drive: Some plants are installing ground-fault relays after learning that their VFD systems aren't protected from ground faults.
Read More
Ratings : 46 %
1 3 2 Confounding Variables :
Ratings : 53 %
My past several posts have detailed confounding variables, a problem you might encounter in research or quality improvement projects. To recap, confounding variables
Read More
Ratings : 32 %
In statistics, a confounding variable (also confounding factor, a confound, or confounder) is an extraneous variable in a statistical model that correlates (directly
Read More
Ratings : 54 %
Confounding Variables :
Ratings : 38 %
Lurking and Confounded Variables :
Ratings : 51 %
Observational Studies and Experiments :
Ratings : 64 %
Independent Variable, Dependent Variable, Constants, and Control :
Ratings : 64 %
The Case of the Lurking Variable :
Ratings : 51 %