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Published byVivien Hubbard Modified over 5 years ago

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Quantitative assessment of the strength of the relationship between x & y. It is the measure of the extent to which x & y are linearly related. *It is strong if the points lie close to a straight lint and is weak if they are widely scattered about a line.

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It’s a number between -1 and 1. The closer it is to the ends, the stronger the positive or negative relationship. It gives the strength and direction. 0 1 Strong Positive No Correlation Strong Negative

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www.whfreeman.com/tps4e www.whfreeman.com/tps4e

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Think about z-scores of the x & y

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xy 65 103 147 198 2112

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xy 15219 27189 31195 42173 88121 92138 66152 51140

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If you are asked to interpret a correlation start by looking at a scatterplot of the data. Then be sure to address direction, form, strength, and outliers and put your answer in context.

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It does not depend on the unit of measurement. It doesn’t depend upon which of the 2 variables is “x” It’s between -1 and 1 It equals -1 or 1 if all points lie on a straight line It is strongly affected by a few outliers

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Scatterplots show relationships – not cause and effect.

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Create scatterplot Find the correlation Describe the association Fat (g)Sodium 29920 311150 341200 351095 391180 391120 431260

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Page 160 (14-18, 21, 26)

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