Positive correlation = positive association Negative correlation = negative association
It's not quite possible for the coefficient of determination to be negative at all, because of its definition as r2 (coefficient of correlation squared). The coefficient of determination is useful since tells us how accurate the regression line's predictions will be but it cannot tell us which direction the line is going since it will always be a positive quantity even if the correlation is negative. On the other hand, r (the coefficient of correlation) gives the strength and direction of the correlation but says nothing about the regression line equation. Both r and r2 are found similarly but they are typically used to tell us different things.
No. The strongest correlation coefficient is +1 (positive correlation) and -1 (negative correlation).
No.
No. The units of the two variables in a correlation will not change the value of the correlation coefficient.
Positive correlation = positive association Negative correlation = negative association
It's not quite possible for the coefficient of determination to be negative at all, because of its definition as r2 (coefficient of correlation squared). The coefficient of determination is useful since tells us how accurate the regression line's predictions will be but it cannot tell us which direction the line is going since it will always be a positive quantity even if the correlation is negative. On the other hand, r (the coefficient of correlation) gives the strength and direction of the correlation but says nothing about the regression line equation. Both r and r2 are found similarly but they are typically used to tell us different things.
Positive correlation = the slope of the scattered dots will rise from left to right (positive slope) Negative correlation = the slope of the scattered dots will fall from left to right (negative slope) No correlation = no real visible slope, the dots are too scattered to tell.
the correlations we observe in the world around us
No a correlation method does not prove any kind of cause the only method that will prove Cause and Effect would be a Experiment Lab(hypothesis, Control group, Independent Variable ext...)
The product-moment correlation coefficient or PMCC should have a value between -1 and 1. A positive value shows a positive linear correlation, and a negative value shows a negative linear correlation. At zero, there is no linear correlation, and the correlation becomes stronger as the value moves further from 0.
the degree of correlation between two sets of data
the degree of correlation between two sets of data
Curves in different places on a graph can show us the relationship between two variables. For example, a curve that slopes upwards indicates a positive correlation between the variables, while a curve that slopes downwards indicates a negative correlation. The shape and direction of the curve provide insight into how the variables interact with each other.
No. The two are correlated but the correlation is not sufficiently strong.
No. Alprazolam (Xanax) is not a sulfa.
Auto correlation is the correlation of one signal with itself. Cross correlation is the correlation of one signal with a different signal.