The independent variable is the variable that you change and manipulate in an equation. This causes the dependant variable to change.
Yes, the dependent variable changes based on the independent variable in an experiment or study. The independent variable is manipulated or controlled to observe its effect on the dependent variable, which is measured or recorded. This relationship helps researchers understand how variations in the independent variable influence outcomes in the dependent variable.
the dependent variable changes with the independent variable. the independent variable only changes when changed by the experimenter. Time is usually an independent variable.
A dependent variable is one that changes based on changes of the independent variable. Or we can say it depends on whatever happens to the independent variable.
Independent changes; the dependent variable is what you will measure.
It depends on what you are looking at. If you want to look at changes in variable Y when a variable X is changed, then X is the independent variable and Y is the dependent. But if you want to look at changes in X which accompany changes in Y, then Y is the independent variable and X is the dependent.
In science, the dependent variable is what is being tested in the experiment. It changes as the independent variable changes, because it depends on the independent variable. The experiment can measure changes in the dependent variable through controlling the independent variable.
In a cause-and-effect relationship, the dependent variable changes due to the independent variable. The independent variable is the one that is manipulated or controlled in an experiment, while the dependent variable is the one being measured to see how it responds to the changes in the independent variable.
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.
Yes, the dependent variable is influenced by changes in the independent variable. The relationship between the two variables is typically investigated through statistical analysis to determine the extent of this influence.
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.
the dependent variable changes based on the independent variable
The dependent variable changes in response to changes in the independent variable. This change in the dependent variable is measured to determine the impact or relationship between the two variables.
the dependent variable changes with the independent variable. the independent variable only changes when changed by the experimenter. Time is usually an independent variable.
The dependent variable is dependent on the independent variable, so when the independent variable changes, so does the dependent variable.
A dependent variable is one that changes based on changes of the independent variable. Or we can say it depends on whatever happens to the independent variable.
Independent changes; the dependent variable is what you will measure.
In an experiment, the independent variable is manipulated or controlled by the researcher, while the dependent variable is measured to see the effect of the independent variable. The independent variable is the cause, while the dependent variable is the effect. Changes in the independent variable are expected to cause changes in the dependent variable.