negative, weak
No, it indicates an extremely strong positive correlation.
correlation which can be strong or weak
It really depends a lot on the context. The Cohen scale, for example, puts a correlation of 0.5 right on the cusp of "medium/modest" (0.30-0.49) and "large/strong" (0.50-1.00). However these cutoff criteria are largely arbitrary and shouldn't be applied too strictly. A correlation of 0.5 might be regarded as strong in some social science situations (e.g. where the measures are based on 5-point Likert scales) or weak in physical science situations where instrumentation can be extremely precise.
Smart is someone that knows a lot. Niceness is someone that is friendly to others. -------------------- Is someone smart more likely to be nice? Is someone nice more likely to be smart? Good questions! My hunch is that if there is a correlation, it would be a weak one.
An example of weak positive correlation would be the relationship between the amount of time spent studying for a test and the grade achieved. While there may be a slight increase in grades as study time increases, the correlation is not very strong. This means that studying more does not guarantee a significantly higher grade, but there is still a positive trend between the two variables.
yes
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.
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.
R less than 0.3
correlation which can be strong or weak
A correlation near 0 indicates a weak linear association.
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.
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.