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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).

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Q: What is an example of a third variable correlation?
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What is an apparent although false association between two variable that is caused by some third variable?

Spurious Correlation.


What is a correlation variable?

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.


An observation that the higher the air temperature the lower the activity of test animals would be an example of what kind of correlation?

This would be an example of a negative correlation, where as one variable (air temperature) increases, the other variable (activity of test animals) decreases.


What is a positive negative correlation?

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.


Difference between a causal relationship and correlation?

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.


What third variables might there be that would cause a spurious correlation in the survey results?

The third variable could be one which is correlated to both variables. These are called confounding variable. For example, in the UK you could find a correlation between coastal air pollution and ice cream sales. This is not because eating ice cream causes air pollution nor because air pollution causes people to eat ice cream. The confounding variable is the temperature. Warm weather gets people to drive to the sea!


When two variables are correlated there are four possible explanations of the correlation What are they?

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


When one variable decreases as a another increases what kind of correlation is that in psychology?

That is a negative correlation in psychology. It means that as one variable goes up, the other variable goes down.


What does it mean when two variables have a positive correlation?

A positive correlation between two variables means that there is a direct correlation between the variables. As one variable increases, the other variable will also increase.


Why does correlation happen?

Correlation occurs when two variables are related or co-vary in a systematic way. This means that as one variable changes, the other variable tends to change in a particular direction. Correlation can happen due to a direct cause-and-effect relationship or because both variables are influenced by a common third factor.


What is it called when one variable increases the other variable shows no relationship?

No correlation.


What does a correlation of-0.9 mean?

As one variable increases the other variable decreases.