Possible maybe
The independent variable goes on the x-axis while the dependent variable goes on the y-axis. :)
In experimental design there are two variables, the independent variable and the dependent variable. You are allowed manipulate or change one variable to see how that affects results in an experiment you are conducting. Think of it as the variable Ican change. This is the i variable, the independent. The experiment will generate data that responds to these changes. This data is your dependent variable.
The Dependent Variable (Y).The dependent variable. When two variables have a relationship with each other (independent and dependent), it is called a function. Usually, the independent variable is x and the dependent variable is y, although this can be switched around depending on the data.
they are bother variable and they both make-up a graph or table
it goes on the data table
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.
On the y-axis (the bottom of the table)
Independent
title, unit, independent variable, dependent variable
in the first column on the left
If x depends on a, b and c, then x is the dependent variable, and a, b, and c are the independent variables - you can vary them at will, and x depends on them. Often it appears on the right hand side of an equation, such as x = a +b + 2/c, showing how x depends on the independent variables.
A frequency table is a way of tabulating data, where the independent variable (that is, what you are measuring, such as height or length) is listed in the left hand column. The frequency, which is the number of times the independent variable occurs, goes on the right hand column. Sometimes, we represent the frequency by means of tally marks. A grouped frequency table groups the independent variable into "classes": e.g. 0 - 5, 6 - 10, 11 - 15...
Usually, the independent variable is X.
A responding variable is measured by collecting data through observations or experiments. It involves tracking changes in the variable as a result of manipulating the independent variable. The data is then analyzed to determine the effect of the independent variable on the responding variable.
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Dependent variable is your data, independent variable is what you are testing. Ex. Sunlight would be the independent variable and a plants growth would be the dependent variable.