When an experiment demonstrates that one variable directly influences another while controlling for other factors, it suggests a causal relationship between the two variables. This is typically achieved through careful experimental design, such as randomization and the use of control groups, to isolate the effect of the independent variable on the dependent variable. Establishing this type of relationship strengthens the validity of the findings and supports the conclusion that changes in the independent variable are responsible for changes in the dependent variable.
causation
causation
A control in science is in an experiment that makes sure the science experiment only tests one variable. A constant is in an experiment and that is a variable that never changes.
Controlling for a variable is the act of deliberately varying the experimental conditions in order to take a single variable into account in the prediction of the outcome variable. Controlling tends to reduce the experimental error. A control is something that does not change in the experiment.
Thats what makes the variables what they are by definition they are what is changing
causation
causation
causation
causation
causation
The experiment shows exactly what your title says!
causation
that there is a relationship between the two variables. This relationship can be used to predict how changes in one variable will affect the other variable.
causation
causation
causation
The experiment demonstrates a direct cause-and-effect relationship between the two variables, with no interference from other variables. This suggests that changes in the dependent variable can be attributed solely to variations in the independent variable.