Ah, the independent variable is typically found on the left side of a data table. It's the variable that you can control or manipulate to see how it affects the dependent variable. Just remember, like a happy little tree, the independent variable helps guide the direction of your experiment.
a simple 2d xy line graph has only the possibility for 2 different variables (x and y). for a 3 variable graph you would have to go into a 3d xyz graph with each variable as x, y and z. it is possible to fit a line to this but for an easier analysis it is better to analyse the variables in pairs.
You can only make a stacked bar graph if one of the groups is always smaller than the other.Otherwise one bar might go right over the other one.* * * * *The above disadvantage does not apply to stacked bars where the bar for each variable is stacked on top of other bars. The main disadvantage is that it becomes increasingly difficult to see changes in all but the variable that is at the bottom of the stack (and so has a fixed bottom line).
That means finding something that changes, but isn't dependent on something else changing it. I would say that time is a non-example. It keeps changing regardless of how other things are changing. (Now, there is an exception to this in physics, where the passage of time changes in relation to velocity, but we're assuming that we are just talking about time as it is typically for us.) Another example would be something like a quantity purchased. Let's say that candy bars cost $ .75 each. The total cost would be dependent on how many candy bars are purchased, so the total cost would be the dependent variable. The number of candy bars purchased would be the independent variable, since it doesn't depend (within reason) on the total price. Since it is an independent variable, it is not a dependent variable, so it is a non-example of a dependent variable. For example, someone could purchase either 3 or 4 candy bars, and the total price depends on how many are bought, but how many are bought doesn't depend on the total price.
The graph could go on forever while a data table only shows a part of the graph.
The manipulated variable typically goes on the independent variable axis of a graph. This is because the manipulated variable is the one that is controlled or changed by the experimenter to observe its effect on the dependent variable.
The independent variable goes on the x-axis while the dependent variable goes on the y-axis. :)
In principle, wherever you want. However, it is customary to place the independent variable on the horizontal axis, and the dependent variable on the vertical axis.
The manipulated variable, also known as the independent variable, is typically plotted along the x-axis of a graph. This variable is controlled by the experimenter and is used to observe its effect on the responding variable, which is usually plotted on the y-axis.
The independent variable typically goes on the x-axis, and the dependent variable goes on the y-axis.
Any variable that you like. If you have one independent variable and one dependent, then by convention, the independent one would go on the x-axis.
the y-axis is the dependent variable and the x-axis is the independent variable.
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.
The dependent variable is the variable in the experiment that changes. For example if you were trying to figure out which of the three fertilizers works the best on flowers your dependent variable would be the fertilizer and the independent variable would be the flowers. If that doesn't help go to factmonster.com
Yes, the usual case in mathematics is to use the the y-axis variable as the dependent variable.
Usually on the horizontal axis.
A dependent variable is a factor being measured or observed in an experiment, and its value depends on the independent variable(s) being tested. It is the variable that is affected by the changes in the independent variable(s) and is used to assess the impact of the experimental manipulation.