Best Answer

an example of third variable correlation would be something like a lack of adult supervision (the 3rd variable) would cause watching televised violence and aggressiveness. There are still two other variables that are in relation to each other, but they probably would not occur unless the 3rd variable was there (which is the lack of parents).

Study guides

☆☆

Q: What is an example of a third variable correlation?

Write your answer...

Submit

Still have questions?

Continue Learning about General Science

correlation

coorelation

dependent variable

An example of a dependent variable is the growth of a plant If the independent variable is changes, the dependent variable will react to it. For example: the amount sunlight coming in a room (independent variable) changes, the growth of the plant (dependent variable) will change because of the sunlight being effected Dependent variable - effect Independent variable - cause

A dependent variable depends on the test you are conducting, but the definition of a dependent variable is the variable you are looking at to see if the is an effect on

Related questions

Spurious Correlation.

Any variable can be a correlation variable. In some cases there may be no apparent correlation but that, in itself, that means nothing. For example, the x and y coordinates in the equation of a circle (or any symmetric shape) are not correlated. On the other hand, there is a pretty good correlation between my age and the number of cars in the world.A correlation variable is simply a variable that you study to see if changes in the variable that you are interested in is, in any way, related to changes in the correlation variable, and to get some idea of the degree to which they move in line.

Correlation determines relationship between two variables. For example changes in one variable influence another variable, we can say that there is a correlation between the two variables. For example, we can say that there exists a correlation between the number of hours spent on reading and preparation and the scores obtained in the examination. One can infer that higher the amount of time spent on preparation may result in better performance in examination leading to higher scores. Hence the above is a case of positive correlation. If an increase in independent variable leads to an increase in dependent variable, it is a case of positive correlation. On the other hand if an increase in independent variable leads to a reduction in dependent variable, it is a case of negative correlation. An example for negative correlation could be the relationship between the age advancement and resistance to diseases. As age advances, resistance to disease reduces.

1. The purpose of correlation chart are to measure or relate two variables and allow us to make a prediction about one variable based on what we know about another variable. For example, a correlation between the 2 known sample.

when one variable decreases, the other variable does the same.

a. The correlation between X and Y is spurious b. X is the cause of Y c. Y is the cause of X d. A third variable is the cause of the correlation between X and Y

Things may be correlated without causal relationship or conversely. Consider the Modulus function - that is the value of a number without regard to its sign. Over any domain (-a,a), there is a very strict relationship between x and mod(x), but their correlation is 0. Conversely, I expect that there is a good correlation between my age and the number of TV sets in the world. That is not to say that my getting older is producing more TVs or that TV production is causing me to age. Simply that both of them are correlated to a third variable - time. There can be correlation without such a third variable but, offhand, I cannot think of an example.

No correlation.

As one variable increases the other variable decreases.

As one variable increases the other variable decreases.

As one variable increases the other variable decreases.

As one variable increases the other variable decreases.

People also asked