A dependent variable depends on the other factors while an independent variable does not depend on the other factors.
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 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.
Cause and effect
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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
The mediator variable explains the relationship between the independent variable and the dependent variable.
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.
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 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.
Cause and effect
In a hypothesis, the independent variable is the factor that is manipulated or changed, while the dependent variable is the factor that is measured or observed to see how it is affected by the independent variable. The relationship between them is that changes in the independent variable are believed to cause changes in the dependent variable, allowing researchers to test their hypothesis and draw conclusions.
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