positive correlation-negative correlation and no correlation
In a negative correlation as one factor is decreased, the other factor is increased.
The correlation can be anything between +1 (strong positive correlation), passing through zero (no correlation), to -1 (strong negative correlation).
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.
Those are both perfectly valid terms, which you would use according to context. You might say, for example, that obesity has a negative correlation to longevity. And in an aqueous solution there is an inverse correlation between hydrogen ions and hydroxide ions.
As one thing goes up the other goes down
Positive correlation has a positive slope and negative correlation has a negative slope.
Positive correlation = positive association Negative correlation = negative association
No.
positive correlation-negative correlation and no correlation
It's a negative correlation because it is less than 0
the negative sign on correlation just means that the slope of the Least Squares Regression Line is negative.
A positive correlation.
No. The strongest correlation coefficient is +1 (positive correlation) and -1 (negative correlation).
They can be positive correlation, negative correlation or no correlation depending on 'line of best fit'
A negative correlation is a measure of the linear component of a relationship where one variable increase as the other decrease.
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.