when the points on the graph are close to each other;)
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.
Positive correlation
A positive value for a correlation indicates a positive correlation; e.g. it has a positive slope.
I think you're referring to Correlation. This means the relationship between two variables. There can be a positive correlation, where as one variable increases, so does the other. There can be a negative correlation, where as one variable increases, the other decreases. Lastly, there can be no correlation, where there is no relationship between the two variables.
A positive correlation.
a correlation on a graph is when the line of best fit is positive, negative or none.
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.
When you have a scatter graph and you want to find the correlation of it, you draw a line from one corner to the other of the grid.Also, if the categories are to do with the same thing, then it's a positive correlation.
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.
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
a positive correlation
y=mx+[1] The number in the [] must be positive
Positive 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!
Any graph where, from left to right, the slope goes upward (assuming the axes are labelled in the standard way).
A positive value for a correlation indicates a positive correlation; e.g. it has a positive slope.