An independent variable is a variable which, in the context of the experiment or the observations, can affect the dependent variable but is not affected by it. By contrast, the dependent variable is affected by changes in the independent variable. It is quite possible that there is no independent variable, as such, and each variable affects the other.
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Table The difference in the values of the "dependent" variable is a fixed multiple of the difference between the corresponding values of the independent variable. And the value of the dependent variable is non-zero when the independent is zero.Graph A non-vertical straight line which does not pass through the origin.Equation y = mx + c (or equivalent) where m is some real number and c is non-zero.
Yes it depends on what you are measuring in your study. some examples of variable include age, sex, marital status among others
They can do, but there are some circumstances where they may not be particularly useful. If, for example, the observations are not in order of the values of the independent variable, then a line plot will be difficult to read. If there are several different values of the dependent variable for a single value of the independent variable, the graph may be difficult to interpret. If there are two or more observations where the values of both variables are the same, the graph may not indicate that the point is in fact a multiple observation.
The quantity of coffee that is consumed per some measure of time within a period starting some fixed amount of time before the test. Ideally, any study should also take account of the strength of the coffee, and the body mass of the consumer.
Independent event: I fall down from a 100 metre high point without any protective gear. Dependent event: I die.