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.
inferential statistics
If a graph shows the relationship between the dependent variable and the independent variable as a straight line, it indicates a linear relationship between the two variables. This means that changes in the independent variable result in proportional changes in the dependent variable. The slope of the line represents the rate of change, while the y-intercept indicates the value of the dependent variable when the independent variable is zero.
A dependent variable depends on the other factors while an independent variable does not depend on the other factors.
A straight line on a graph indicates a linear relationship between the dependent variable and the independent variable. This means that as the independent variable changes, the dependent variable changes at a constant rate. The slope of the line represents the rate of change, while the y-intercept indicates the value of the dependent variable when the independent variable is zero.
control
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.
Depends on the relationship between the independent and dependent variables.
Independent Variable: interleukin and fatigue Dependent Variable: the relationship -----inferential statistics
inferential statistics
It depends on the relationship, if any, between the independent and dependent variables.
If a graph shows the relationship between the dependent variable and the independent variable as a straight line, it indicates a linear relationship between the two variables. This means that changes in the independent variable result in proportional changes in the dependent variable. The slope of the line represents the rate of change, while the y-intercept indicates the value of the dependent variable when the independent variable is zero.
A dependent variable depends on the other factors while an independent variable does not depend on the other factors.
The mediator variable explains the relationship between the independent variable and the dependent variable.
A straight line on a graph indicates a linear relationship between the dependent variable and the independent variable. This means that as the independent variable changes, the dependent variable changes at a constant rate. The slope of the line represents the rate of change, while the y-intercept indicates the value of the dependent variable when the independent variable is zero.
dependent variable is current and independent variable is resisitance
The dependent variable is influenced by changes in the independent variable. The dependent variable's values depend on the values of the independent variable. This relationship is often explored through statistical analysis in research studies.