No! Correlation by itself is not sufficient to infer or prove causation.
0, within statistical error.
They equal a minus and two +'s or two -'s equal a + :)
positive correlation
If measurements are taken for two (or more) variable for a sample , then the correlation between the variables are the sample correlation. If the sample is representative then the sample correlation will be a good estimate of the true population correlation.
Positive Correlation
A correlation coefficient of 1 (r=1) is a perfect positive correlation.
No! Correlation by itself is not sufficient to infer or prove causation.
0, within statistical error.
They equal a minus and two +'s or two -'s equal a + :)
various approaches to data exploration are 1. perfect correlation 2. strong correlation 3. weak correlation
Of what? There is no universal correlation between volume and weight.
positive correlation
Auto correlation is the correlation of one signal with itself. Cross correlation is the correlation of one signal with a different signal.
positive correlation-negative correlation and no correlation
No. The strongest correlation coefficient is +1 (positive correlation) and -1 (negative correlation).
The correlation can be anything between +1 (strong positive correlation), passing through zero (no correlation), to -1 (strong negative correlation).