![]() In many experiments, one of the variables is fixed or controlled and the point of the experiment is to determine how the other variable varies with the first. There is no correlation if x and y do not appear to be related. We say that there is a positive linear correlation if y increases as x increases and we say there is a negative linear correlation if y decreases as x increases. Here is a scatter diagram with a regression line drawn in:Ĭorrelation is a term used to describe how strong the relationship between the two variables appears to be. "Linear" means that the function we are looking for is a straight line (so our function f will be of the form f(x) = mx + c for constants m and c). Of course, the points might not fit the function exactly but the aim is to get as close as possible. ![]() "Regression" is the process of finding the function satisfied by the points on the scatter diagram. A good way of doing this is by drawing a scatter diagram. between a person"s height and weight) by comparing data for each of these things. ![]() We often wish to look at the relationship between two things (e.g. This page looks at Linear Regression, Scatter diagrams and Correlation.
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