Independent variables are those that you change in an experiment. Dependent variables are the ones that you measure in an experiment. Dependent variables are influenced by the independent variables that you change, so they are dependent upon the independent variable. Generally, experiments should have only one independent variable.
They are respectively the ones you control (independent) and the ones you mesure (dependent).
Independent variables are variables that can be changed in an experiment, while dependent variables are variables that change as a result of an experiment. In other words, independent variables are what you change, and dependent variables are the results of the experiment.
line that measures the slope between dependent and independent variables
Correlation is a measure of association between two variables and the variables are not designated as dependent or independent. Simple regression is used to examine the relationship between one dependent and one independent variable. It goes beyond correlation by adding prediction capabilities.
One is dependent and one is independent
Independent variables are those that you change in an experiment. Dependent variables are the ones that you measure in an experiment. Dependent variables are influenced by the independent variables that you change, so they are dependent upon the independent variable. Generally, experiments should have only one independent variable.
Depends on the relationship between the independent and dependent variables.
They are respectively the ones you control (independent) and the ones you mesure (dependent).
It depends on the relationship, if any, between the independent and dependent variables.
Both variables and both part of an experiment.
Independent variables are variables that can be changed in an experiment, while dependent variables are variables that change as a result of an experiment. In other words, independent variables are what you change, and dependent variables are the results of the experiment.
dependent variable is current and independent variable is resisitance
line that measures the slope between dependent and independent variables
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.
Independent variables are controlled or manipulated by the researcher to determine their effect on the dependent variable. Dependent variables, on the other hand, are the outcome or response that is measured in an experiment. The independent variable causes a change in the dependent variable.
Depends on the experiment - there may be no relationship. Typically proportional, inversly proportional, proportional to the log and similar are given in set experiments at schools. So a staight line going up and straingt line going down or a curve of some sort when drawn as a line graph.