Correlation is a statistical technique that is used to measure and describe the strength and direction of the relationship between two variables.
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.
the correlations we observe in the world around us
You cant get anything form nothing
You cant get anything form nothing
Notingthis dose not tell you anything about this at all
Can the poor wretch's corpse tell us anything?
According to the latest study, they say that people should drink red wine because it help us to live longer. But on the other hand we all know that alcohol is bad for us. Because consuming too much can cause alcohol poisoning.
Not without pictures
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.
First tell us what treatment you mean, and by whom.
Tell them if the don't tell you, then you won't tell them your school grades. Or tell them you won't do anything they say. OR tell them that if they tell you, then you will babysit you brother or sister and if you don't have a brother or sister then tell them that you won't tell them their surprise for their birthday NEXT year.