Independent is the thing that you are changing which is probably the food and the dependent is the thing is changing . I think. .....
Dependent variable is your data, independent variable is what you are testing. Ex. Sunlight would be the independent variable and a plants growth would be the dependent variable.
The independent variable is the thing you are testing or the thing you control. The dependent variable is what you are measuring.
a dependent variable is the thing in your experiment you are testing or the thing that you are influencing. for example temperature. The independent variable changes on its on for example time. If you had a question : How long does it take for the water to reach 25c; the water temp is the dependent as you are measuring it, and the time is independent because you are not affecting it.
The independent variable (such as time) is places on the x-axis of a graph. Always place the things that will never change on the x-axis. The dependent variable is then placed on the y-axis. The difference between the independent and dependent variable is that the independent variable in an experient does not change it is what stays constent, it is what is used to measure the dependent variable. On the other hand the dependent variable is what the experiment is testing for and what depends on the independent variable.
You are testing the independent variable. The dependent variable is the one being measured.
Variables kept constant, often referred to as controlled variables, are elements in an experiment that remain unchanged throughout the testing process. This ensures that any observed effects can be attributed to the independent variable rather than other factors. By controlling these variables, researchers can achieve more reliable and valid results, isolating the relationship between the independent and dependent variables.
In an experiment, the independent variable is altered, and the effect observed is the dependent variable, or outcome. The controlled variable is intended to be kept the same throughout the experiment so that changes in it do not affect the results.
The two broad types of variables in scientific experimentation are dependent and independent variables. Independent variables are variables (ideally only one or very few) that the experimenter manipulates in the experiment. For example, if you were testing the effect of temperature on plant growth rates, you would likely have similar plants in similar conditions but in areas with different temperatures. The experimenter is changing the temperature between the groups of plants, so the temperature would be the independent variable. The dependent variables are the effects the independent variable has on the experimental subjects. They are changes not being directly controlled or manipulated by the experimenter. In the above temperature vs. plant growth example, the rate of plant growth would be the dependent variable; it depends on the temperature.
Constants are fixed values that do not change during an experiment or analysis, providing a stable reference point. In contrast, independent variables are those that are deliberately manipulated or varied to observe their effect on dependent variables. While constants help maintain the integrity of an experiment by controlling for external influences, independent variables are essential for testing hypotheses and determining causal relationships. Thus, the key difference lies in their roles: constants remain unchanged, while independent variables are actively adjusted.
It can be, it depends on your experiment. Independent variables are the variables in an experiment that will not change. If you want to do an experiment that tests how something reacts with water, then starting with a clean controlled water sample for each test would be necessary and an independent variable. Conversely, if you were testing the cleanliness of multiple water sources, then the ideology of clean water would be your dependent variable, which would change upon each testing. WIth your given information I cannot say whether or not you would want water to be either a dependent or an independent variable for your experiment.
The two types of variables are: independent variables and dependent variables.Independent variables are variables (ideally only one or very few per experiment) that the experimenter manipulates in the experiment. For example, if you were testing the effect of temperature on plant growth rates, you would likely have similar plants in similar conditions but in areas with different temperatures. The experimenter is changing the temperature between the groups of plants, so the temperature would be the independent variable.The dependent variables are the effects the independent variable has on the experimental subjects. They are changes not being directly controlled or manipulated by the experimenter. In the above temperature vs. plant growth example, the rate of plant growth would be the dependent variable; it depends on the temperature.
The independent variable is the one thing in the experiment that does change. The dependent variable "depends" on the independent variable. For example if you were testing to see how well plants grow in the dark, and you put one plant in a closet and the other by a window. The independent variable would be the amount of sunlight that each plant gets. The dependent variable would be if the plants grew or not because it depends on how much sunlight each plant got.