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When two sets of data are strongly linked together we say they have a High Correlation. Here we look atlinear correlations (correlations that follow a line). Correlation can have a value: 1 is a perfect positive correlation.

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Outlier. A value that "lies outside" (is much smaller or larger than) most of the other values in a set of data. For example in the scores 25,29,3,32,85,33,27,28 both 3 and 85 are "outliers"

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Outlier - math word definition - Math Open Reference

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Definition of 'outlier' as used in statistics

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Statistics 1 - Line of Best Fit. A line of best fit (or "trend" line) is a straight line that best represents the data on a scatter plot. This line may pass through some of the points, none of the points, or all of the points.

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Line of Best Fit - Definition, Equation, Formula & Examples | Math@TutorVista.com

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Negative correlation is a relationship between two variables in which one variable increases as the other decreases, and vice versa. In statistics, a perfect
negative correlation is represented by the value -1.00, while a 0.00 indicates no correlation and a +1.00 indicates a perfect positive correlation

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When data seems to be "gathered" around a particular value. For example: for the values 2, 6, 7, 8, 8.5, 10, 15, there is a cluster around the value 8. See: Outlier. Outliers.

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Statistical correlation is measured by what is called the coefficient of correlation (r). ... Here r = +1.0 describes a perfect positive correlation and r = -1.0 describes a perfect negative correlation. The closer the coefficients are to +1.0 and -1.0, the greater the strength of the relationship between the variables.

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Scatter plots are similar to line graphs in that they use horizontal and vertical axes to plot data points. However, they have a very specific purpose. Scatter plots show how much one variable is affected by another. The relationship between two variables is called their correlation .

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A correlation gives you a number, called r, which can range from 0.0 to 1.00 (or -1.00). Zero correlation means there is no relation between two variables. ... A correlation of 1.00 (either + or -) means perfect correlation.

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Positive correlation is a relationship between two variables in which both variables move in tandem. A positive correlation exists when one variable decreases as the other variable decreases, or one variable increases while the other increases.