Morgan, Leech, Gloeckner, & Barrett (2013). Correlation and Regression (Chapter 9).

“A scatterplot is a plot or graph of two variables that shows how the score for an individual on one variable associates with his or her score on the other variable. If the correlation is _high positive_, the plotted points win be close to a straight line (the linear regression line) from the lower left comer of the plot to the upper right. The linear regression line will slope downward from the upper left to the lower right if the correlation is _high negative_. For correlations _near zero_, the regression line will be flat with many points far from the line, and the points form a pattern more like a circle or random blob than a line or oval.” (p 150)

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Leech, Barrett, & Morgan (2015). Factorial ANOVA and ANCOVA (Chapter 9).

“… these inferential statistics have two or more independent variables and one scale (normally distributed) dependent variable. Factorial ANOVA is used when there is a small number of categorical independent variables (usually two or three), and each of these variables has a small number of levels or categories (usually two to four).” (p 188)

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