Well, it's a non-linear relationship. It could be inverse, or quadratic, or many other things.
It depends on the relationship, if any, between the independent and dependent variables.
control
The independent variable (such as time) is places on the x-axis of a graph. Always place the things that will never change on the x-axis. The dependent variable is then placed on the y-axis. The difference between the independent and dependent variable is that the independent variable in an experient does not change it is what stays constent, it is what is used to measure the dependent variable. On the other hand the dependent variable is what the experiment is testing for and what depends on the independent variable.
You should use a scatter plot when you want to show the relationship between an independent and a dependent variable in a manner that is quick and easy to view.
It can tell you how the dependent variable (usually represented on the y-axis) changes in relation (and hence the rate of change) to the independent varaible (usually represented on the x-axis).
Depends on the relationship between the independent and dependent variables.
Independent Variable: interleukin and fatigue Dependent Variable: the relationship -----inferential statistics
It depends on the relationship, if any, between the independent and dependent variables.
inferential statistics
A dependent variable depends on the other factors while an independent variable does not depend on the other factors.
dependent variable is current and independent variable is resisitance
A dependent variable is a variable dependent on the independent variable. A control variable is something you want to try to keep the same. A dependent variable is something you measure. An independent variable is something you change.
The mediator variable explains the relationship between the independent variable and the dependent variable.
Cause and effect
The mediator variable explains the relationship between the independent variable and the dependent variable.
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