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If there are two variables X and Y such that changes in the value of X cause changes in the value of Y but changes in Y do not cause changes in X, then X is the independent variable and Y is the dependent variable.
However, if changes in the value of X cause changes in the value of Y and changes in Y cause changes in X, then both X and Y are dependent variables.
What else can I help you with?
How are the independent and dependent variables related?
Independent variables can take values within a given boundary. The dependent variable will take values based on the independent variable and a given relationship at which the former can take its values.
How are dependent variables and independent variable the related?
Independent variables can take values within a given boundary. The dependent variable will take values based on the independent variable and a given relationship at which the former can take its values.
Describe the steps you would take in making a graph to show the relationship between two related variables?
The steps are to find the y-axis (dependent variable) and the x-axis (independent variable), then make a scale for your variables on the graph.
What are dependent and independent variables and how are they usually related to each other in a problem or situation?
a DEPENDENT variable is one of the two variables in a relationship.its value depends on the other variable witch is called the independent variable.the INDEPENDENT variable is one of the two variables in a relationship . its value determines the value of the other variable called the independent variable.
What is the relationship between independent and dependent variables?
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.
When is a bar graph useful?
when a sets of data can be separated by 2 orders of variables, which are the independent & dependent variables.
Independent and dependent variables are found in statements of causality but not in statements of association?
True. Good examples are shown in related links.
Regression analysis is a statistical procedure for developing a mathematical equation that describes how?
one dependent and one or more independent variables are related.
Can you have two dependent variables?
It is generally not recommended to have two dependent variables in a single analysis, as it can complicate the interpretation of results. It is usually clearer to analyze each dependent variable separately in order to understand the relationship with the independent variable. If the dependent variables are closely related, consider creating a composite score or index to represent the construct.
What is independent variables?
an independent variable is a variable that changes the dependent variable.___________________________________________________Independentvariableis:a factor or phenomenon thatcausesorinfluencesanotherassociatedfactor or phenomenon called adependent variable. For example,incomeis an independentvariablebecause it causes and influences another variableconsumption. In a mathematicalequationormodel, the independent variable is the variable whosevalueis given. In anexperiment, it is the controlledcondition(that is allowed tochangein asystematicmanner) whose effect on thebehaviorof a dependent variable is studied. Also calledcontrolled variable,explanatory variable, orpredictor variable.
How are light dependent and independent reactions related?
The products of light-dependent reactions are used in light-independent reactions.
What makes two variables dependent?
There is the mathematical use and statistical use of the word "dependent" as explained on the related link. The mathematical use is a dependent variable is the outcome of a function with one or more independent variables. The statistical definition in the setting of an experiment, is similar, it is a variable which is expected to be affected by changes in independent variables. Example: If I don't eat (quantity of food- independent variable), I will be hungry (dependent variable). I will not have as much energy (second dependent variable). But nothing is perfect in experimentation. The circumstances of the experiment with numerous unknown relationships may cause unexpected results. In observational studes, with typically less control, variables can be hypothesized (or conjectured) to be related, i.e. global warming causes artic ice to melt, and artic ice melting leads to more global warming. This would also be called a feedback effect. I can produce a dependent series of numbers from an independent series. If I take a series of random numbers of size N which come from a given distribution, and rank them from low to high , with n = 1 for the lowest and n = N for the highest, the ranks become dependent variables. A change in one value could affect the rank of another variable. I have included some more information on dependent variables. See related links.
