Every time the independent variables change, the dependent variables change.Dependent variables cannot change if the independent variables didn't change.
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.
Time Series.
They are respectively the ones you control (independent) and the ones you mesure (dependent).
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.
Depends on the relationship between the independent and dependent variables.
It depends on the relationship, if any, between the independent and dependent variables.
dependent variable is current and independent variable is resisitance
control
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.
Every time the independent variables change, the dependent variables change.Dependent variables cannot change if the independent variables didn't change.
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.
The dependent variable is influenced by changes in the independent variable. The dependent variable's values depend on the values of the independent variable. This relationship is often explored through statistical analysis in research studies.
A regression graph is most useful for predicting dependent variables, as it shows the relationship between the independent and dependent variables, allowing for the prediction of future values.
"Player" is the independent variable, and "Points" is the dependent variable.
Time Series.