when the points on the graph are close to each other;)
To determine the type of correlation shown in a scatter graph, you would typically look at the pattern of the plotted points. If the points trend upwards from left to right, it indicates a positive correlation. Conversely, if the points trend downwards, it suggests a negative correlation. If the points are scattered without any discernible pattern, it indicates little to no correlation.
The correlation of a graph refers to the statistical relationship between two variables depicted on the graph. It indicates how changes in one variable are associated with changes in another, typically represented by a correlation coefficient that ranges from -1 to 1. A positive correlation means that as one variable increases, the other also tends to increase, while a negative correlation indicates that as one variable increases, the other tends to decrease. The strength and direction of the correlation can be visually assessed through the slope and clustering of points in a scatter plot.
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.
No Correlation
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.
The graph follows a very strong downward trend. Would have helped if you specified which correlation coefficient; there are different types.
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.
To determine the type of correlation shown in a scatter graph, you would typically look at the pattern of the plotted points. If the points trend upwards from left to right, it indicates a positive correlation. Conversely, if the points trend downwards, it suggests a negative correlation. If the points are scattered without any discernible pattern, it indicates little to no correlation.
The correlation of a graph refers to the statistical relationship between two variables depicted on the graph. It indicates how changes in one variable are associated with changes in another, typically represented by a correlation coefficient that ranges from -1 to 1. A positive correlation means that as one variable increases, the other also tends to increase, while a negative correlation indicates that as one variable increases, the other tends to decrease. The strength and direction of the correlation can be visually assessed through the slope and clustering of points in a scatter plot.
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