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.

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Presentation transcript:

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.

 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

Think about z-scores of the x & y

xy

xy

xy

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.

 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

Scatterplots show relationships – not cause and effect.

 Apples: circumference, weight  College freshmen: shoe size, weight  People: age, grip strength  Drivers: blood alcohol, reaction time

 Create scatterplot  Find the correlation  Describe the association Fat (g)Sodium

 There appears to be a (strong, weak, moderate) (positive/negative) (linear, nonlinear) relationship between _____ (give the x variable) and ______ (give the y variable)  Do not just say between x & y!

SAT-mathSAT-verbal

 Page 160 (14-18, 21, 26)