The dependent variable is the effect of an independent variable. For example, if a science experiment is done with plant growth under a certain amount of light, the height of the plant is the dependent variable because it depends on the amount of light.
An independent variable. This is because you can manipulate the variable so it is said to be independent of the other variables. This is different from the dependent variable which is the variable you are measuring the change in. For example in an experiment to see how the amount of water given to a plant affects it's height, the amount of water is the independent variable, because it is the variable you can change, while the height of the plant is the dependent variable because we want to see how the change in the amount of water affects it.
the independent of the tomato plant is the leaf and the dependent variable is the root
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.
Whether or not the plant is exposed to sunlight. Independent variables are manipulated by the experimentor, dependent variables react to the change in the independent variable.
The independent variable is what you are changing in the experiment to get varied results. The dependent variable is the result of what you have changed. So the dependent variable depends on the independent variable. For example, if you are experimenting with the effect of water on height of a plant, the different amounts of water that you give the plant is the independent variable. The height of the plant that you measure as the result of the water is the dependent variable.
Independent variable: the amount of fertilizer applied to the plants. Dependent variable: the growth of the plants, typically measured by height or biomass.
The dependent variable is the effect of an independent variable. For example, if a science experiment is done with plant growth under a certain amount of light, the height of the plant is the dependent variable because it depends on the amount of light.
The dependent variable is the outcome or response that is being measured or observed in an experiment or study. It is dependent on the independent variable, which is the factor being manipulated or controlled by the researcher. Changes in the independent variable are expected to cause changes in the dependent variable.
An independent variable is manipulated by the researcher to see its effect on the dependent variable. The dependent variable is what is being measured or observed in the experiment and is influenced by changes in the independent variable. In other words, the independent variable causes a change in the dependent variable.
A dependent variable is a factor in an experiment that is influenced by another factor. An example might help to clarify. You are performing an experiment in which you are observing how sunlight affects plant height. Plant height is the dependent variable because it is dependent upon how much sunlight the plant receives. Sunlight is an example of an independent variable. It is not influenced by anything in this experiment, but may be changed to observe its effect on the dependent variable. It is possible to have more than one dependent variable in an experiment, but only one independent variable.
The height from which the ball is dropped is the independent variable, as it is what is being manipulated. The height of the ball's bounce is the dependent variable, as it is what is being measured and is affected by the height from which the ball is dropped.
An independent variable. This is because you can manipulate the variable so it is said to be independent of the other variables. This is different from the dependent variable which is the variable you are measuring the change in. For example in an experiment to see how the amount of water given to a plant affects it's height, the amount of water is the independent variable, because it is the variable you can change, while the height of the plant is the dependent variable because we want to see how the change in the amount of water affects it.
the independent of the tomato plant is the leaf and the dependent variable is the root
The dependent variable for plant growth experiments is typically plant height, biomass, or other measured characteristics such as leaf number, flower production, or root length. These variables are directly influenced by the independent variable being tested, such as different treatments, conditions, or factors.
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.
The Dependent Variable is the value you measure in an experiment. It relates directly to the independent variable (it 'depends' on it). By contrast: Independent variable - the condition you deliberately change in order to get different results. Controlled variable - the condition you keep the same in all specimens in an experiment. For example, if you were doing an experiment to see how different amounts of sunlight affected the height of bean plants, the dependent variable would be the height - that is what you are measuring, and it changes/varies with each plant. The independent variable would be sunlight. You would write the Dependent Variable as "Height (centimeters)"