Section 1
Correlation
By Boundless
![Thumbnail](../../../../../../figures.boundless-cdn.com/18115/square/02552975-9b29069a5f-z.jpeg)
Correlation refers to any of a broad class of statistical relationships involving dependence.
![Thumbnail](../../../../../../figures.boundless-cdn.com/18117/square/-05-20-20at-206.24.34-20pm.jpeg)
A scatter diagram is a type of mathematical diagram using Cartesian coordinates to display values for two variables in a set of data.
![Thumbnail](../../../../../../figures.boundless-cdn.com/18127/square/-05-21-20at-202.52.24-20pm.jpeg)
The correlation coefficient is a measure of the linear dependence between two variables
The coefficient of determination provides a measure of how well observed outcomes are replicated by a model.
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The trend line (line of best fit) is a line that can be drawn on a scatter diagram representing a trend in the data.
Other types of correlation coefficients include intraclass correlation and the concordance correlation coefficient.
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A prediction interval is an estimate of an interval in which future observations will fall with a certain probability given what has already been observed.
![Thumbnail](../../../../../../figures.boundless-cdn.com/18133/raw/spearman-fig1.jpg)
A rank correlation is a statistic used to measure the relationship between rankings of ordinal variables or different rankings of the same variable.