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Positive correlation is a relationship between two variables in which both variables move in tandem that is in the same direction.
I would assume a negative correlation. More TV sets per home = less newspaper circulation.
That's correct. The correlation between two suitable variables in a data set might be any value between -1 and 1, including 0.
Strong and positive
No, it depends upon the size of the coefficient of correlation: the closer to ±1 the stronger the correlation.When the correlation coefficient is positive, one variable increases as the other increases; when negative one increases as the other decreases.
Positive correlation has a positive slope and negative correlation has a negative slope.
Yes
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.
Positive correlation is a relationship between two variables in which both variables move in tandem that is in the same direction.
No, it is an integer number. Correlations happen among various different things. A non-zero correlation means that the things interact or depend on each other. A zero correlation means they don't. Examples: There is a positive correlation between how much you eat and how much you weigh. There is a zero correlation between the color of your car and its gas mileage. There is a positive correlation between how far the volume control is turned up and the sound pressure level that you hear. There is a negative correlation between the air temperature and the sales of sweaters.
The correlation can be anything between +1 (strong positive correlation), passing through zero (no correlation), to -1 (strong negative correlation).
I believe you are asking how to identify a positive or negative correlation between two variables, for which you have data. I'll call these variables x and y. Of course, you can always calculate the correlation coefficient, but you can see the correlation from a graph. An x-y graph that shows a positive trend (slope positive) indicates a positive correlation. An x-y graph that shows a negative trend (slope negative) indicates a negative correlation.
If the two variables increase together and decrease together AND in a linear fashion, the correlation is positive. If one increases when the other decreases, again, in a linear fashion, the correlation is negative.
Either +1 (strongest possible positive correlation between the variables) or -1 (strongest possible negativecorrelation between the variables).
Only in the case of a positive outcome
Positive correlation means that, if something increases, a factor dependent on it also increases. However, if there is negative correlation, the dependent factor decreases.
The product-moment correlation coefficient or PMCC should have a value between -1 and 1. A positive value shows a positive linear correlation, and a negative value shows a negative linear correlation. At zero, there is no linear correlation, and the correlation becomes stronger as the value moves further from 0.