yes
If the form is nonlinear (like if the data is in the shape of a parabola) then there could be a strong association and weak correlation.
yes
negative, weak
they are the same. +1.00 and -1.00 are the strongest correlations. If you have +.92 and -.92 then that's a strong correlation but if you have -.15 and +.15 then that would be a weak correlation. There for + 1 or - 1 makes no difference
a strong negative correlation* * * * *No it is not. It is a very weak positive correlation.
No, it indicates an extremely strong positive correlation.
R less than 0.3
correlation which can be strong or weak
A correlation near 0 indicates a weak linear association.
Pearson's Product Moment Correlation Coefficient indicates how strong the relationship between variables is. A PMCC of zero or very close would mean a very weak correlation. A PMCC of around 1 means a strong correlation.
various approaches to data exploration are 1. perfect correlation 2. strong correlation 3. weak correlation
The correlation coefficient must lie between -1 and +1 and so a correlation coefficient of 35 is a strong indication of a calculation error. If you meant 0.35, then it is a weak correlation.