yes
negative, weak
No, it indicates an extremely strong positive correlation.
correlation which can be strong or weak
Weak correlation refers to a statistical relationship between two variables that is not strong, indicating that changes in one variable do not reliably predict changes in the other. This is typically represented by a correlation coefficient close to zero, suggesting that the variables may be related, but the connection is minimal and may be influenced by other factors. In practical terms, a weak correlation implies that the association is not strong enough to draw firm conclusions about their relationship.
The correlation coefficient, typically denoted as "r," ranges from -1 to +1. A value of +1 indicates a perfect positive correlation, -1 indicates a perfect negative correlation, and 0 indicates no correlation. Generally, values between 0.1 and 0.3 suggest a weak correlation, 0.3 to 0.5 indicate a moderate correlation, and above 0.5 show a strong correlation. The interpretation may vary depending on the context and the specific fields of study.
negative, weak
yes
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
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.
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.
There may be a weak correlation, but there is no known mechanism to cause this and it is unlikely one will be found.