The answer depends on the context. A variable can be independent in some studies but dependent in others. Time can be an independent variable in distance-time or speed-time studies but the time (to failure of a component) is a dependent variable.
Perhaps confusingly, the same two variables can swap places depending upon the context. Suppose I believe that healthier people are taller (their growth is less likely to be stunted by illnesses) then my independent variable is some measure of their health and the dependent variable is their height. If instead, I believe that taller people are healthier (their parents must have had good genes) then the independent variable is height and the dependent is health.
independent variable,depedent variable and control variable are the 3 kinds of variables.
the three kinds of variables are independent,dependent and controlled
Every time the independent variables change, the dependent variables change.Dependent variables cannot change if the independent variables didn't change.
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.
It is easier to control independent variables
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.
there are three kinds of variables.a variable must be a situation,condition or a factor1.change or manipulated variables.-are the variables that are being tested or changed.2.constant variables.-are the variables that you are not intended to test or study,or the variables to be kept constant.3.responding variables.-are the results of the maipulated variables.
Independent Variables.
Explanatory and Response variables are just fancy words for independent and dependent variables. Explanatory is the independent variable and response is the dependent variable.
Explanatory (or independent) variables are variables such that changes in their value are thought to cause changes in the "dependent" variables.
variables
Variables
Depends on the experiment - there may be no relationship. Typically proportional, inversly proportional, proportional to the log and similar are given in set experiments at schools. So a staight line going up and straingt line going down or a curve of some sort when drawn as a line graph.
One is dependent and one is independent
An independent variable is exactly what it sounds like. It is a variable that stands alone and isn't changed by the other variables you are trying to measure. For example, someone's age might be an independent variable. Other factors (such as what they eat, how much they go to school, how much television they watch) aren't going to change a person's age. In fact, when you are looking for some kind of relationship between variables you are trying to see if the independent variable causes some kind of change in the other variables, or dependent variables.
An independent variable is exactly what it sounds like. It is a variable that stands alone and isn't changed by the other variables you are trying to measure. For example, someone's age might be an independent variable. Other factors (such as what they eat, how much they go to school, how much television they watch) aren't going to change a person's age. In fact, when you are looking for some kind of relationship between variables you are trying to see if the independent variable causes some kind of change in the other variables, or dependent variables.
Independent variables can take values within a given boundary. The dependent variable will take values based on the independent variable and a given relationship at which the former can take its values.