What Is A Lurking Variable Quizlet. Web what is a lurking variable? Web a lurking variable is a quantitative variable that has either a finite number of possible values or a countable number of possible values.
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Web 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. Web lurking variables can falsely show a strong relationship between two variables and it can also hide the relationship existing between two variables. Web a lurking variable is a variable that is unknown and not controlled for; Web a lurking variable is a variable that was not included in your analysis, but that could substantially change your interpretation of the data if it were included. What is a confounding variable? Web a lurking variable is a quantitative variable that has either a finite number of possible values or a countable number of possible values. Web what is a lurking variable? Web a lurking variable is a variable that is unknown and not controlled for; It has an important, significant effect on the variables of interest. Web a lurking variable is a variable that is unknown and not controlled for;
A variable that is neither the explanatory variable nor the response variable but has a relationship (e.g. A variable that is neither the explanatory variable nor the response variable but has a relationship (e.g. Web a lurking variable is a variable that is unknown and not controlled for; In addition, lurking variables are. They are extraneous variables, but may. Web a lurking variable is a variable that is unknown and not controlled for; Web a lurking variable is a quantitative variable that has either a finite number of possible values or a countable number of possible values. It has an important, significant effect on the variables of interest. The number of words in an article allows observations to take on numerical values that represent different magnitudes of the variable. May be correlated) with the response and the. Web a lurking variable is a variable that was not included in your analysis, but that could substantially change your interpretation of the data if it were included.
