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
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
negative, weak
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
You can find examples by typing it in to Google. Weak positive correlation is a set of points on a graph that are loosely set around the line of best fit. The line will be positive rising up from left to right. A weak correlation can vary a lot as long as you can decipher which direction the data tends towards you have a correlation. If the points are close to the line of best fit you have a strong correlation and with a set of points perfectly lined up is perfect correlation. All three types can positive negative or perfect.