A relationship between measures of two types of quantities so that one is statistically dependent on the other.

Often denoted by r, a number between -1 and +1 that measures the strength and direction of a linear relationship between the two types of quantities.

The distance between the first quartile and the third quartile. The length of the interval that contains the middle 50% of data values.

A value in a data set that is greater than Q3 by a distance of 1.5 times the Inter Quartile Range or a value that is less than Q1 by a distance of 1.5 times the Inter Quartile Range.

Given a data set and linear equation used to model the data set, the actual value minus the predicted value. (Actual-Predicted)

Given a data set and linear equation used to model the data set, the graph of all ordered pairs determined as follows: The first entry of the ordered pair is the x-value of the data point, and the second entry is the residual of the data point.

The square root of the sum of the squared distances the values are from the mean divided by (n-1). (from a numerical sample data set of n-values)

A distribution of data that is not symmetric with respect to its mean.

The average of a data set. The sum of the values divided by the number of values.

A graphic representation of a distribution by a rectangle, the ends of which mark the maximum and minimum values, and in which the median and first and third quartiles are marked by lines parallel to the ends.

Found by arranging all the values from lowest to highest and picking the middle one.

The equation representing the relation between selected values of one variable (x) and observed values of the other (y); it permits the prediction of the most probable values of y.

In a mathematical equation or relationship between two or more variables, any variable whose value determines that of others.

Increasing or increased by successive additions. Growing. Mounting.

A straight line drawn through the center of a group of data points plotted on a scatter plot

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