I don't know how to place that image in this reply. However, I will try to describe it.

If both the abscissa (horizontal or X axis) and the ordinate (vertical or Y axis) have the lowest values in lower left corner, the points (dots) for the values would tend to group themselves going from the lower left to the upper right. This indicates that, as the value for one variable increases, the value for the other variable increases. That is a positive correlation on a scatter diagram (plot or graph).

I hope this helps. Thanks for asking.

it doesn't really . if you know year 7 simple stuff it might help

Since my explanation didn't seem to help, I searched Google under the key words "scatter diagram" to get these possible sources:

http://deming.eng.clemson.edu/pub/tutorials/qctools/scatm.htm
http://www.isixsigma.com/offsite.asp?A=Fr&Url=http://www.itl.nist.gov/div898/handbook/eda/section3/scatterp.htm
http://www.qualityspctools.com/scatter.html

I hope this helps a little more thanks for asking.

I apologize for not providing a clear explanation earlier. Let me try again.

A positive correlation on a scatter graph occurs when there is a pattern of points that roughly follow an upward sloping line from left to right. This means that as the value of one variable increases, the value of the other variable also tends to increase.

For example, let's say you are studying the relationship between hours spent studying and test scores. A positive correlation would be observed if students who spend more hours studying tend to have higher test scores.

To create a scatter graph and determine if there is a positive correlation, you can follow these steps:

1. Collect data on the variables you want to study. In this case, you would need information on the number of hours spent studying and the corresponding test scores.

2. Plot the data points on the graph. Let the x-axis represent the hours spent studying and the y-axis represent the test scores. Each data point will have a corresponding x-coordinate (number of hours studied) and y-coordinate (test score).

3. Look at the pattern of the points on the graph. If you see a general trend of points that follow an upward sloping line from left to right, then you have a positive correlation.

4. Draw a line of best fit. This is a straight line that most closely approximates the trend of the data points. It can help you visualize and quantify the strength of the positive correlation.

Remember, a scatter graph is a visual tool to observe relationships between variables. It allows you to see if there is a positive, negative, or no correlation between the variables being studied.