multivariate regression
The independent variable on a data table would be located on the y axis of the data table. The y axis is the bottom of the data table where the names or the objects being tested. The independent variable is dependent on the dependent variable. That's why it is called independent variable.
If one of the variables was independent or if there was a causal relationship between the two variables, then that variable would be placed on the x-axis. If there were no independent variable but one of them was discrete then that would usually be on the x-axis. Otherwise, any variable could be placed on the x-axis.
The variable that goes on the x axis is the independent variable. For example if you were measuring time and plant growth you would put time on the x axis, because the time is independent and doesn't depend on the plan growth.
You use it when the relationship between the two variables of interest is linear. That is, if a constant change in one variable is expected to be accompanied by a constant [possibly different from the first variable] change in the other variable. Note that I used the phrase "accompanied by" rather than "caused by" or "results in". There is no need for a causal relationship between the variables. A simple linear regression may also be used after the original data have been transformed in such a way that the relationship between the transformed variables is linear.
It may or may not be: it depends on the study. In a study of how people intend to vote in an election, the political affiliation would be an independent variable - although probably very highly correlated with the voting intention. On the other hand in the study of the political affiliation of the people who voted in favour of (or against) a particular person, it will be a dependent variable.
It is not. If it were, there would be no regression or correlation.
hours spent studying
you could use a scatter diagram, or the hi/lo method or solve with the help of regression analysis. Hi/lo would normally be easy and fastest.
The independent variable is the one thing in the experiment that does change. The dependent variable "depends" on the independent variable. For example if you were testing to see how well plants grow in the dark, and you put one plant in a closet and the other by a window. The independent variable would be the amount of sunlight that each plant gets. The dependent variable would be if the plants grew or not because it depends on how much sunlight each plant got.
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.
An independent variable is the variable of the experiment that the dependent variable depends on. For example, in an experiment testing the effects of soil quality on a plant's growth, the dependent variable would be the plant's growth and the independent variable would be the quality of the soil.
the dependent variable is the y-value. the dependent variable means it relys on another variable for its answer. without the other variable this variable would not exist. the independent variable is the x-value. the independent variable can exist on its own without the dependent variable. i mention x-values and y-values... this is only if you are using an x and y value for your application. there are other applications... like speed... where the dependent variable for speed would be time and the independent variable for speed would be distance. and for acceleration the dependent variable would be speed and the independent variable would be distance.
Dependent variable would be : too many jellyfish. Independent variable would be tentacles probably.
That the surface tension of water varies with the water's temperature. In this case, temperature would be the independent variable and surface tension would be the independent variable.
Nope. Dependent Variable is the variable that is being tested/measured while Independent variable is the variable is that can be changed.
it would not be a independent variable (manipulated variable) any more it would a diffrent variable.
The independent variable on a data table would be located on the y axis of the data table. The y axis is the bottom of the data table where the names or the objects being tested. The independent variable is dependent on the dependent variable. That's why it is called independent variable.