| correlation | the degree of relationship between variables
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| linear relationship | the degree to which a straight line best describes the relationship between two variables
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| positive correlation | a direct relationship between variables; as one variable increases, the other does also
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| scatterplot | a graph in which score pairs are plotted, with scores on one variable on the X axis and scores on the other variable on the Y axis
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| negative correlation | an inverse relationship between variables; as one variable increases, the other decreases
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| zero correlation | no relationship between the variables
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| Pearson product-moment correlation coefficient | major index used to show linear relationship between two variables; the mean of the z-score products for X and Y pairs
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| Pearson r | another name for the Pearson product-moment correlation coefficient
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| covariance | extent to which two variables vary together
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| regression equation | equation for the straight line that best describes the linear relationship between two variables
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| least squares line | line generated by the regression equation
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| regression coefficient | the slope of the regression line
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| multiple regression | the extension of regression to include more than one predictor
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| coefficient of determination | amount of variability in one variable explained by variability in another
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| Spearman rank order correlation coefficient | nonparametric alternative to the Pearson r
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| point biserial correlation coefficient | correlation coefficient useful when one variable is dichotomous (has only two values) and the other is continuous
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| phi coefficient | correlation coefficient used when both variables are dichotomous (have only two values)
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| general linear model | in its general form, multiple regression; called linear because it deals with "straight-line" relationships between variables
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2003 McGraw-Hill Higher Education