A coefficient of zero means there is no correlation between two variables. A coefficient of -1 indicates strong negative correlation, while +1 suggests strong positive correlation.
A perfect positive correlation would be exactly 1; 1.00 means "0.995 or higher", which is quite strong indeed.
No, it indicates an extremely strong positive correlation.
It tells you how strong and what type of correlations two random variables or data values have. The coefficient is between -1 and 1. The value of 0 means no correlation, while -1 is a strong negative correlation and 1 is a strong positive correlation. Often a scatter plot is used to visualize this.
correlation which can be strong or weak
No, The correlation can not be over 1. An example of a strong correlation would be .99
The correlation can be anything between +1 (strong positive correlation), passing through zero (no correlation), to -1 (strong negative 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.
A coefficient of zero means there is no correlation between two variables. A coefficient of -1 indicates strong negative correlation, while +1 suggests strong positive correlation.
"Strong" is very much a subjective term. Not only that, but it depends on expectations. In economics I would consider 70% to be a strong correlation, but for physics I would want more than 95% before I called the correlation strong!
No.
A very small effect having a greater side effect on a variable or an object may be termed as a strong correlation.
A perfect positive correlation would be exactly 1; 1.00 means "0.995 or higher", which is quite strong indeed.
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.
The graph follows a very strong downward trend. Would have helped if you specified which correlation coefficient; there are different types.