No, r is a coefficient.
cause n affect
Correlation is scaled to be between -1 and +1 depending on whether there is positive or negative correlation, and is dimensionless. The covariance however, ranges from zero, in the case of two independent variables, to Var(X), in the case where the two sets of data are equal. The units of COV(X,Y) are the units of X times the units of Y. correlation is the expected value of two random variables (E[XY]),whereas covariance is expected value of variations of two random variable from their expected values,
1 kp=1.4 S.C.U. (Strong-Cobb Units)
No. The strongest correlation coefficient is +1 (positive correlation) and -1 (negative correlation).
No, r is a coefficient.
Yes.
My understanding is, nothing changes. The correlation will be the same regardless of what units are used. Others may have a deeper level of understanding and suggest something else.
cause n affect
Almost no correlation...
Correlation is scaled to be between -1 and +1 depending on whether there is positive or negative correlation, and is dimensionless. The covariance however, ranges from zero, in the case of two independent variables, to Var(X), in the case where the two sets of data are equal. The units of COV(X,Y) are the units of X times the units of Y. correlation is the expected value of two random variables (E[XY]),whereas covariance is expected value of variations of two random variable from their expected values,
correlation between rock units is impossible
No. There is no known correlation between the two.
The correlation coefficient is a statistical measure of the extent to which two variables change. A correlation coefficient of -0.80 indicated that, on average, an increase of 1 unit in variable X is accompanied by a decrease of 0.8 units in variable Y. Note that correlation does not imply causation.
No there is no correlation to T5 and oral BCP. But it does effect your thyroid.
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.)
1 kp=1.4 S.C.U. (Strong-Cobb Units)