independent variable
the dependent variable cant change the independent varible, but the independent variable can change the dependent varible. (eg: Bob wants to see if the new baseball pitching machine throws better fastballs then his friend. The baseball pitching machine(independent) could change a fastball(dependent), but a fastball(dependent) cant change the baseball pitching machine(independent).
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.
The main advantage is that it allows you to see how different dependent variables change according to changes in the same "independent" variable. It is relatively simple to use two vertical axes for the dependent variables, but the degree to which the two axes relate to one another is arbitrary. Furthermore, if the ranges of the dependent variables are very different the chart becomes unreadable.
This is an abbreviation for independent and identically distributed. In the mathematical analysis of samples, it is convenient to state that each data value in the sample is a iid random variable. See related link.
You may get more ideas from wikipedia under regression analysis. You can do a regression analysis with as little as 2 x,y points- but is it meaningful? Requirements for valid or meaningful relationships can be subjective. However, in my opinion, if meaningful relationships are to be created using regression analysis, the following are important: a) The independent variable should have values that are independent (no relation exists between them). b) There should be a good rational or experimental basis for identifying the independent variables and the resultant dependent variable. c) Sufficient data should be collected in a controlled environment to identify the relationship. d) The validity of the relationship should easy to identify both visually and by numbers (see "goodness of fit" tests).
Independent variables are variables that can be changed in an experiment, while dependent variables are variables that change as a result of an experiment. In other words, independent variables are what you change, and dependent variables are the results of the experiment.
A dependent variable is a variable in an experiment or study that is measured or observed to see how it is affected by changes in the independent variable. It is the outcome or response that is being studied or predicted.
An experimental variable that is measured for change is called the dependent variable. It is the variable that is observed or measured to see how it responds to changes in the independent variable, which is the variable being manipulated in the experiment. The dependent variable is what is used to evaluate the effect of the experiment.
The independent variable. If it changes the other variable, then the other variable depends on it and consequently is the "dependent variable".
The independent variable is the one that you change to observe how it affects another variable, known as the dependent variable. By manipulating the independent variable, you can study its impact on the dependent variable and establish a cause-and-effect relationship between the two.
The dependent variable is the object(s) being tested in the experiment. So if you were to pop a balloon, then the BALLOON would be the dependent variable. Why? Because it is the object being tested. Hope this helped. -6th grader.
The experimental variable that is measured for change is typically called the dependent variable. It is the variable that is observed, measured, or tested in an experiment to see how it responds to changes in the independent variable.
the dependent variable cant change the independent varible, but the independent variable can change the dependent varible. (eg: Bob wants to see if the new baseball pitching machine throws better fastballs then his friend. The baseball pitching machine(independent) could change a fastball(dependent), but a fastball(dependent) cant change the baseball pitching machine(independent).
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 Independent/Manipulative variable is the variable that you purposely change, and the Dependent/Responsive variable is the variable that changes as a rest of the Independent variable. You measure the dependent variable to see the effects of the Independent variable.
In a science experiment, the independent variable is the one you change. For example: if you are doing an experiment on the impact of different types of soil on plant growth, the different types of soil would be your independent variable. The dependent variable is the outcome, or whatever the independent variable directly impacts. In this case, the dependent variable is the height of each plant.
The dependant variable is what you can't change, or decide, and it is affected by the independent variable. EX. If you were to see which liquid is the slowest, the independent variable would be the liquids that you can choose, and the independent variable would be how fast or slow they move, because it depends on what liquids you chose.