This means that the correlation is negative but still significant.
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.
a correlation on a graph is when the line of best fit is positive, negative or none.
Negative
If the two variables increase together and decrease together AND in a linear fashion, the correlation is positive. If one increases when the other decreases, again, in a linear fashion, the correlation is negative.
No, it indicates an extremely strong positive correlation.
Yes.
Yes, but the relationship need not be causal.
Positive correlation has a positive slope and negative correlation has a negative slope.
A mistake in calculations! ;) If the calculations are done correctly then the sample correlation must lie within the closed interval [-1, 1].
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
This is referred to as correlation, which quantifies the strength and direction of the relationship between two variables. The correlation coefficient can range from -1 to 1, where values closer to 1 indicate a strong positive relationship, values close to -1 indicate a strong negative relationship, and a value of 0 indicates no relationship.
A positive correlation.
No. The strongest correlation coefficient is +1 (positive correlation) and -1 (negative correlation).