A correlation coefficient cannot exceed 1.
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
A correlation of .12 is considered weak in social sciences. It suggests that there is a very minor relationship between the variables being studied. Strong correlations are typically closer to 1 or -1.
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).