A dependent variable is one that changes based on changes of the independent variable. Or we can say it depends on whatever happens to the independent variable.
Not exactly sure what you mean by "can't change." However, I if I do understand you correctly, the dependent variable CAN change. The dependent variable will change according to the independent variable's value and overall effect. For example, in an experiment involving water's effect on plants, the dependent variable may be the height of the plant or the glucose produced. Based on the amount of the independent variable (represented on the x axis of a data graph), the dependent variable will increase or decrease. In this case, both dependent values (glucose and height) would probably increase.
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.
MathematicsY is often used as the "dependent variable" which changes as the independent variable (X) changes, according to the defined function y = f(x).ExperimentationThe dependent variable is what will change in the experiment, based on changes made to the independentvariable. The constant or controlled variable is maintained so that the outcome is dependent on the changes to the factor being studied.Example : Determining growth of bacteria in various aqueous nutrient solutions.The growth rate (what you measure) is the dependent variable.The amount of a nutrient added is the independent variable.The temperature and humidity are the controlled variables, which are kept the same.Example: Time is an independent variable, no matter how fast you are going, the amount of time does not change over a specific interval. Distance is a dependent variable. The distance travelled is dependent on how fast you are going over that same interval.A dependent variable is a value that receives its magnitude due to the magnitude of the other variables in the "equation" or "test" or "experiment".* * * * *In many situations, though, there is no independent variable but two [inter-]dependent variables. This is particularly true of systems in which there is some sort of feedback. For example, changes in the rate of inflation affects the rate of unemploment and changes in the rate of unemployment affects inflation.A dependent variable is what you measure in the experiment and what is affected during the experiment.
The horizontal axis is reserved for the independent variable in a function. Time is always an independent variable in time-based functions. However, duration can be dependent. It depends on what's being plotted.
the dependent variable changes based on the independent 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.
The dependent variable is the outcome or response in an experiment that is being measured and analyzed. It is the variable that is expected to change based on the manipulation of the independent variable.
A dependent variable is one that changes based on changes of the independent variable. Or we can say it depends on whatever happens to the independent variable.
In an experiment, the condition manipulated by a biologist is known as the independent variable. The condition that changes based upon how the independent variable was manipulated is known as the dependent variable.
Not exactly sure what you mean by "can't change." However, I if I do understand you correctly, the dependent variable CAN change. The dependent variable will change according to the independent variable's value and overall effect. For example, in an experiment involving water's effect on plants, the dependent variable may be the height of the plant or the glucose produced. Based on the amount of the independent variable (represented on the x axis of a data graph), the dependent variable will increase or decrease. In this case, both dependent values (glucose and height) would probably increase.
A dependent variable is the outcome that is being measured or tested in an experiment or study. It is influenced by the independent variable, which is the variable that is manipulated. The dependent variable is what researchers are trying to understand or predict based on the changes in the independent variable.
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.
Time is typically considered an independent variable because it is under the control of the experimenter and is used to measure the changes in the dependent variable, which is position in this case. Position, on the other hand, is dependent on time as it varies based on the specific time interval being measured. Position changes as time progresses, making it the dependent variable in this context.
The measurable outcome in an experiment is typically referred to as the dependent variable. It is the variable that is being measured or tested in response to changes made to the independent variable. The results of the experiment are evaluated based on the changes to the dependent variable.
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.
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.