Positive correlation has a positive slope and negative correlation has a negative slope.
It's a negative correlation because it is less than 0
A positive correlation.
They can be positive correlation, negative correlation or no correlation depending on 'line of best fit'
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.
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.
A negative correlation means that two variables are inversely related. This means that as one variable increases the other decreases. When a negative correlation is plotted, it forms a downward slanting line.
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.