0% to 100%
When two variables are not related, the correlation coefficient is close to zero, indicating no linear relationship between them. This suggests that changes in one variable do not predict changes in the other. A correlation coefficient can range from -1 to 1, with values near zero demonstrating weak or no correlation.
coefficient
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.
2X 2 is the coefficient
the correlation coefficient range is -1 to +1
ɪf the regresion coefficient is the coefficient of determination, then it's range is between 0 or 1. ɪf the regression coefficient is the correaltion coefficient (which i think it is) the it must lie between -1 or 1.
The 2014 Land-Rover Range-Rover has a drag coefficient of 0.36 Cd.
The 2004 Land-Rover Range-Rover has a drag coefficient of .38 Cd.
The 2009 Land-Rover Range-Rover has a drag coefficient of 0.39 Cd.
The 2007 Land-Rover Range-Rover has a drag coefficient of .39 Cd.
The 2008 Land-Rover Range-Rover has a drag coefficient of .39 Cd.
The 2005 Land-Rover Range-Rover has a drag coefficient of .38 Cd.
The 2003 Land-Rover Range-Rover has a drag coefficient of .38 Cd.
The 2013 Land-Rover Range-Rover has a drag coefficient of 0.35 Cd.
The 2006 Land-Rover Range-Rover has a drag coefficient of .39 Cd.
You can describe if there's any obvious correlation (like a positive or negative correlation), apparent outliers, and the corrlation coefficient, which is the "r" on your calculator when you do a regression model. The closer "r" is to either -1 or 1, the stronger that correlation is.