Positive correlation.Positive correlation.Positive correlation.Positive correlation.
good correlation
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.
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.
A positive value for a correlation indicates a positive correlation; e.g. it has a positive slope.
In science, positive correlation is a general positive slope in something. Often times this is represented with a graph, using many points of data, for instance, height vs age would be a positive correlation. The meaning of positive correlation in both science and math are very, very similar. Only the scenarios they are used in differ.
A positive correlation.
Positive correlation = positive association Negative correlation = negative association
Positive correlation has a positive slope and negative correlation has a negative slope.
positive correlation-negative correlation and no correlation
Positive correlation.Positive correlation.Positive correlation.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'
1.
Positive Correlation
A correlation coefficient of 1 (r=1) is a perfect positive correlation.