A correlation coefficient of 1 (r=1) is a perfect positive correlation.
Correlation cannot accurately describe any type of curve. The correlation of a curve would be a linear approximation rather than an accurate description of the data. Giving a function would more accurately describe data that lies on a curve.
true
The temporal correlation would measure the similarity of one signal over time.
None of them.
No, it depends upon the size of the coefficient of correlation: the closer to ±1 the stronger the correlation.When the correlation coefficient is positive, one variable increases as the other increases; when negative one increases as the other decreases.
Positive Correlation
A correlation coefficient cannot exceed 1.
No! Correlation by itself is not sufficient to infer or prove causation.
Auto correlation is the correlation of one signal with itself. Cross correlation is the correlation of one signal with a different signal.
There is no correlation.
Correlation cannot accurately describe any type of curve. The correlation of a curve would be a linear approximation rather than an accurate description of the data. Giving a function would more accurately describe data that lies on a curve.
0, within statistical error.
negative, weak
true
They equal a minus and two +'s or two -'s equal a + :)
Fossils that are the most useful for correlation tend to be found in various types of rocks, are widespread, and easy to recognize. One rock type where fossils are found is sedimentary rocks.
Yes. * A positive correlation is when the dependant variable increases as the independent one does. * A negative correlation is when the dependant variable decreases as the independent one increases. * Perfect correlation is when all the points lie along a straight line; no correlation is when the points lie all over the place. In calculating the correlation coefficient it can have a value between -1 and 1, with 0 indication no correlation and values between 0 and ±1 showing a greater correlation until ±1 which is perfect correlation. Moderate correlation would be one of these intermediate values, eg ±0.5, which shows the points are moderately related.