No! Correlation by itself is not sufficient to infer or prove causation.
It depends on the range of ages, but a moderate positive correlation.
both are inter related. an Intellectual always have the creativity and viceversa So the in betwenn the range -1 to +1 ... my heart goes to +1
A correlation coefficient has a range of -1 to 1. Any number outside of this range has been incorrectly calculated. I note that is you meant to ask - Is r= -0.626 is a very strong correlation coefficient? then the answer No, this value is not a strong indicator that a linear relationship exists. Please see related link. The diagrams showing x-y graphs and the correlation coefficients is a good way to gain a "feel" of the coefficients and strength of relationships.
Yes
FALSE: THE RANGE IS -1 to +1
the correlation coefficient range is -1 to +1
Why the value of correlation coefficient is always between -1 and 1?
why correlation cofficient always lies between 1 and -1
No! Correlation by itself is not sufficient to infer or prove causation.
It depends on the range of ages, but a moderate positive correlation.
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.
The values of the range also tend to increase.
W. Lakin has written: 'Short range anti-correlation of electrons in the hydrogen molecule' 'Shor t range anti-correlation of electrons in the hydrogen molecule' -- subject(s): Accessible book
both are inter related. an Intellectual always have the creativity and viceversa So the in betwenn the range -1 to +1 ... my heart goes to +1
Correlation coefficients measure the strength and direction of a relationship between two variables. They range from -1 to 1: a value of 1 indicates a perfect positive correlation, -1 indicates a perfect negative correlation, and 0 indicates no correlation. They are commonly used in statistics to quantify the relationship between variables.
Yes. The range of r is from -1 to 1. See related link.