and food source
There is no correlation between race and intelligence.
nothing i believe.
Charles Darwin is not an inventor but he proposed the theory of evolution after constant visits to the Galapagos islands to study the difference between small and giant tortoises and observations on the similarity of behaviour between humans and chimpanzees
Veterinarians have not discovered a correlation between a male cat's head size and whether he has been neutered. Typically, a cat's head will be the same whether he has been neutered or is still intact.
I believe monkey's have tails and gorilla's do not!
You can say that the correlation is positive if and only if the slope is positive. The correlation is zero if and only if the slope is zero. And the correlation is negative if and only if the slope is negative. On the other hand, slope does change when your measurement units change, while correlation does not change. (For example, the correlation between height in inches and weight in pounds will be the same as the correlation between height in centimeters and weight in kilograms, as long as both sets of measurements were taken on the same observations.)
I don't believe there is any correlation between the two
There is no correlation between stewardship and homosexuality.There is no correlation between stewardship and homosexuality.
No, there is not a correlation.
partial correlation is the relation between two variable after controlling for other variables and multiple correlation is correlation between dependent and group of independent variables.
Thgere's no correlation whatsoever between amplitude and wavelength.
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.
There is no correlation.
The correlation can be anything between +1 (strong positive correlation), passing through zero (no correlation), to -1 (strong negative correlation).
correlation implies the cause and effect relationship,, but casuality doesn't imply correlation.
Positive correlation has a positive slope and negative correlation has a negative slope.
To calculate the degrees of freedom for a correlation, you have to subtract 2 from the total number of pairs of observations. If we denote degrees of freedom by df, and the total number of pairs of observations by N, then: Degrees of freedom, df=N-2. For instance, if you observed height and weight in 100 subjects, you have 100 pairs of observations since each observation of height and weight constitutes one pair. If you want to calcualte the correlation for these two variables (height and weight), your degrees of freedom would be calculated as follows: N=100 df=N-2 Therefore, df=100-2=98 The degrees of freedom are a function of the parameters; you subtract the amount of parameters free to vary from the n to get the df, so logically in a correlation we should subtract 2 from n, as we are looking at a correlation between 2 variables.