If y= 2x, then x is said to be an independent variable because you can choose what you like to calculate the dependant variable y . But someone could come along and say, Hey, I know what y is, and from his point of view he could calculate what x is, So from his point of view x would be a dependent variable and y the independent variable x=2/y. In general, the independent variables are the variables you use to calculate the answer, which is then the dependent variable.
An independent variable or manipulated variable is when you change it on purpose. For example, say your scientific problem was "Does certain substances affect how fast water is frozen?" Those substances are the indepentant variables. A dependant variable is how you measure the dependant variable. For instance, the dependant variable would be how fast the water is frozen. The things they have in common are that they are both variables and are subject to change.
A significant interaction in a factorial experiment indicates that the effect of one independent variable on the dependent variable is different at different levels of another independent variable. In other words, the relationship between the variables is not simply additive or independent, but influenced by the interaction between the variables.
Manipulated variable is also known as the independent variable. The independent variable may determine if a seed germinates. Examples of manipulated variables for seed germination include: water, suitable temperature and air/oxygen. These basic variables are also the most important in seed germination.
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.
In a controlled experiment, the one factor that differs is the independent variable. This is the variable that is deliberately changed or manipulated by the researcher in order to observe its effect on the dependent variable. The goal of a controlled experiment is to isolate the impact of the independent variable on the dependent variable while holding all other variables constant.
Some examples of a scientific variable is Independent Variable Control Variables :)
doesn't have to have a variable of any thing !!!
Independent and dependent variables are the variables that change during the course of an experiment. An example might be an experiment on how temperature affects plant growth. Changing the temperature is the independent variable, while the level of plant growth that results is the dependent variable.
Its a element, feature, or factor that is liable to vary or change.
Every time the independent variables change, the dependent variables change.Dependent variables cannot change if the independent variables didn't change.
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.
It depends on the number of variables and their nature: 2 variables, both independent: either axis 2 variables, one independent: x-axis 3 variables, all independent: any axis 3 variables, 2 independent: x or y-axis. 3 variables, 1 independent: x-axis. and so on.
It is easier to control independent variables
Constants stays the same independent variables is the variable that is being manipulated
The types of variables according to functional relationship are independent variables and dependent variables. Independent variables are inputs that are manipulated or controlled in an experiment, while dependent variables are the outputs that are affected by changes in the 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.
the independent variable controls the dependent variables