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Extraneous variable a.k.a. Confounding vaiable is a variable that affects an independent variable n also afects a dependent variable at d same time confounding relatnship btn the independent and dependent variable. Mediating variable a.k.a. Intervening variable, it is a variable forming a link btn two variables that are causualy conected.
The difference between internal and external validity is in their nature. Internal validity indicates if a study depicts relation between two variables. External validity on the other hand generalizes the study of the variables.
In optimization models, the formula for the objective function cell directly references decision variables cells. In complicated cases there may be intermediate calculations, and the logical relation between objective function and decision variables be indirect.
Independent variables are those that you change in an experiment. Dependent variables are the ones that you measure in an experiment. Dependent variables are influenced by the independent variables that you change, so they are dependent upon the independent variable. Generally, experiments should have only one independent variable.
Did you mean "variables and constant"? Variables vary taking on various values whereas constants do not change and remain fixed. Temperature, number of accidents per day in a city, number of children born in a city are examples of variables. Number of planets in our solar system is an example of a constant.
Moderation occurs when the relationship between two variable depends on a third variable. The third variable is referred to as the moderate variable or simply the moderator
An intervening variable is a hypothetical internal state that is used to explain relationships between observed variables
An intervening variable is an internal state that is hypothetical in empirical research. It explains the relationships between variables being observed.
Extraneous variable a.k.a. Confounding vaiable is a variable that affects an independent variable n also afects a dependent variable at d same time confounding relatnship btn the independent and dependent variable. Mediating variable a.k.a. Intervening variable, it is a variable forming a link btn two variables that are causualy conected.
when there is no relation between the variables
Biochemical correlation refers to the statistical relation between two or more biochemical variables.
Linear Analysis is a technique used in statistics to determine the constant relationship between two variables.
An intervening variable is an internal state that is hypothetical in empirical research. It explains the relationships between variables being observed.
partial correlation is the relation between two variable after controlling for other variables and multiple correlation is correlation between dependent and group of independent variables.
When forming a hypothesis for quantitative research, a declarative hypothesis states the expected relation between variables, whereas a null hypothesis states that there is no significant relation.
The difference between internal and external validity is in their nature. Internal validity indicates if a study depicts relation between two variables. External validity on the other hand generalizes the study of the variables.
In optimization models, the formula for the objective function cell directly references decision variables cells. In complicated cases there may be intermediate calculations, and the logical relation between objective function and decision variables be indirect.