Red and blue colored lights are most effective for plant growth.
Plant Growth is the dependent variable and light color is the independent variable. The rest are control variables.
A Control variable is the part of the experiment that we keep the same throughout all of the test subjects. An independent variable does not depend on other variables and a dependent variable does.
Allow me to explain. When we perform an experiment, many factors that can change the results, For this reason, it is common practice to keep many of them the same for all test subjects (In this case for all of the plants). This way we know that if changes are measured, they were not caused by these variables. These are what we call control variables.
An independent variable does not depend on other variables to remain the same. For example, the species of plant would be an independent variable, given that a plant cannot change its species because of other factors.
A dependent variable does change according to other variables and is often what we try to measure. For this example given, the dependent variable is how much the plant will grow with each colored light.
Knowing that plants rely on light to produce the energy needed to grow, we can <u>hypothesize</u> that applying different colors of light will have an effect on plant growth. To test this, we can create an experiment where we use:
- Soil
- amount of water
- amount of light
- species of plant
- length of experiment
As control variables.
One group of plants will have blue light, another green, and another red. We can identify the color of light as an independent variable.
Since what we seek to measure is plant growth, we identify this as our dependent variable and measure it for each plant after a set amount of time, to compare results.
With this, you can confidently identify the control, dependent, and independent variables and how to use them in your experiment.
To learn more about experiments try: brainly.com/question/17314369?referrer=searchResults
