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me Direction: Apositive direction or a ncreases, so does the other. When increases in Hecreases in the other, the association is negative. ond Form: The form we care about most is straight, but you should certainly describe Strength: A scatterplot is said to showa strong association if there is little scatter atterns you see in scatterplots. round the underlying relationship. (p. 151) pint that does not fit the overall pattern seen in the scatterplot. (p. 152) scatterplot, you must choose a role for each variable. Assign to the y-axis the edictor variable that accounts for, explains, predicts, or is otherwise responsible correlation coefficient is a numerical measure of the direction and strength of a ine onse variable that you hope to predict or explain. Assign to the x-axis the explanato for -variable. (p. 153) ciation. (p. 155) Σ 2y r= n- 1 able other than x and y that simultaneously affects both variables, acCOunting for ation between the two. (p. 160) SOUNDS LIKE THE CLASS HELPED. THEN I TOOK A I USED TO THINK CORRELATION IMPLED CAUSATION. STATISTICS CLASS. NoW I DON'T WELL, MAYBE 2013 Randall Munroe. Reprinted with permission. All rights reserved. Os

My Stats textbook uses XKCD comics at the end of each chapter | /r/mildlyinteresting


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