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.
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.
it is the line in the middle of the crosses
correlation
a correlation statement is a sentence that says whether the points on a scatterplot have a positive, negative or no correlation.ex. This graph shows a negative correlation, as the number of cows increases (x axis data) the profitability decreases (y axis data).
A negative 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.
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.
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.
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.
That's a question that can only really be answered via a study. Take a random sample of people (from your school for example) and plot their weight against their average daily walking distance (you may have to make your subjects carry a pedometer during the study period). Do you see a negative relationship on the graph?As a second step, calculate the correlation coefficient. As negative correlation gets stronger the correlation coefficient will get closer to -1.