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Independent = input a.k.a. x-value

Dependent = output a.k.a. y-value Dependent variables go on y axis. Independent variables go on x axis. Time is almost always independent and that is why it nearly always on x axis. Time doesn't depend on anything in most experiments. But many things depend on it. Those will go on the y axis. If you have an object cooling, we plot a temperature time graph. The temperature (y axis) is dependent on the time (x axis) but not the other way round. If you consider the area of a parachute and its time of flight, then time depends on the area and so time being dependent on the area goes on the y axis. So in short: the independent variable is what you can control and goes on the x- axis. the dependent variable is what results from the experiment and goes on the y-axis.

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Q: How do you graph independent and dependent variables?
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Related questions

Which graph is best for analyzing quantitive independent and dependent variables?

line graph


The scale in a graph is determined by?

The scale in a graph is determined by the range of the dependent and independent variables.


How to graph independent and dependent variables?

The answer depends on the nature of the variables: for a start, whether they are qualitative or quantitative.


What type of graph is most useful for making predictions about dependent variables?

A regression graph is most useful for predicting dependent variables, as it shows the relationship between the independent and dependent variables, allowing for the prediction of future values.


When the graph of best fit is a straight line the dependent and independent variables have what kind of relationship?

the dependent variable has one value and the independent variable has no value


Independent and dependent are types of what?

Independent and dependent are types of variables. These variables are used mostly in science and math. When using independent variables you can control them dependent variables you cannot.


On a graph of two variables which is the variable that causes changes in the other?

The independent variable causes changes in the dependent variable; the dependent variable is contingent on the manipulations of the independent variable.


What are the differences between independent and dependent variables?

Independent variables are controlled or manipulated by the researcher to determine their effect on the dependent variable. Dependent variables, on the other hand, are the outcome or response that is measured in an experiment. The independent variable causes a change in the dependent variable.


How do the independent and dependent variables in an experiment compare?

the independent variable controls the dependent variables


What is the differecnce between independent variables and dependent variables?

Every time the independent variables change, the dependent variables change.Dependent variables cannot change if the independent variables didn't change.


13 What is the relation between dependent and independent variables?

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.


When is a bar graph useful?

when a sets of data can be separated by 2 orders of variables, which are the independent & dependent variables.