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
In mathematics, the three types of correlation are positive correlation, negative correlation, and zero correlation. Positive correlation occurs when two variables move in the same direction, meaning that as one increases, the other also increases. Negative correlation happens when one variable increases while the other decreases. Zero correlation indicates no relationship between the two variables, meaning changes in one do not affect the other.
They equal a minus and two +'s or two -'s equal a + :)
To determine the type of correlation shown in a scatter graph, you would typically look at the pattern of the plotted points. If the points trend upwards from left to right, it indicates a positive correlation. Conversely, if the points trend downwards, it suggests a negative correlation. If the points are scattered without any discernible pattern, it indicates little to no correlation.