There are three types of correlation: positive, negative, and none (no correlation).
The graph follows a very strong downward trend. Would have helped if you specified which correlation coefficient; there are different types.
No correlation. Answer provided by
Any graph where, from left to right, the slope goes upward (assuming the axes are labelled in the standard way).
It suggests that there is very little evidence of a linear relationship between the variables.
You can find examples by typing it in to Google. Weak positive correlation is a set of points on a graph that are loosely set around the line of best fit. The line will be positive rising up from left to right. A weak correlation can vary a lot as long as you can decipher which direction the data tends towards you have a correlation. If the points are close to the line of best fit you have a strong correlation and with a set of points perfectly lined up is perfect correlation. All three types can positive negative or perfect.
a correlation on a graph is when the line of best fit is positive, negative or none.
A scatter graph can be used to establish whether or not there is correlation and to get an approximate idea as to its strength. But no graph will actually measure correlation.
when the points on the graph are close to each other;)
it is the line in the middle of the crosses
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.
There would be no definite correlation. It would just be a random correlation that would be all over the graph because there is no trend in hair color and weight. Your weight doesn't determine your hair color.
When both axis' are increasing it is a positive correlation. When both are decreasing it is a negative correlation. When the dots are all over the place then there is no correlation.
correlation
No Correlation
A scatter graph may use a positive correlation or negative correlation, to shows points of the graph in either a dipping or climbing line, and is fairly easy to read the data. A zero correlation is when the points are scattered across the graph and this can make seeing the data difficult. It's a bit like "dot to dot" in a children's puzzle book, but without the numbers at the side of the dots!
Since y=14x is a perfect linear relation, the correlation would be 1.
you graph the points going downwards