Positive correlation has a positive slope and negative correlation has a negative slope.
A positive correlation.
It's a negative correlation because it is less than 0
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.
They can be positive correlation, negative correlation or no correlation depending on 'line of best fit'
Positive correlation has a positive slope and negative correlation has a negative slope.
Positive correlation = positive association Negative correlation = negative association
A positive correlation.
positive correlation-negative correlation and no correlation
It's a negative correlation because it is less than 0
I believe you are asking how to identify a positive or negative correlation between two variables, for which you have data. I'll call these variables x and y. Of course, you can always calculate the correlation coefficient, but you can see the correlation from a graph. An x-y graph that shows a positive trend (slope positive) indicates a positive correlation. An x-y graph that shows a negative trend (slope negative) indicates a negative correlation.
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.
They can be positive correlation, negative correlation or no correlation depending on 'line of best fit'
No. The strongest correlation coefficient is +1 (positive correlation) and -1 (negative correlation).
no correlation.
a correlation on a graph is when the line of best fit is positive, negative or none.
A positive correlation between two variables, say X and Y, means that if one increases, the other will too. No correlation means that they are not related. A negative correlation means that as one increases, the other decreases. Normally you will see this in studies as "Recent studies demonstrated a positive correlation between eating too much and obesity." Or, "recent studies demonstrate a negative correlation between a healthy, balanced diet and obesity".