PSYCH 2220 Lecture Notes - Lecture 15: Inverse Relation, Checksum, Xm Satellite Radio
8 Apr 2018
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A statistic that quantifies a relation b/t 2 variables. Magnitude/value of # (not sign): indicates strength of relation. Absolute value; closer to + or - 1 = stronger relationship. Direction (+/-): how variables change in relationship to one another. Negative relationship: one variable increases and the other decreases (opposite directions) Positive relationship: both variables either increasing or decreasing (same direction) Ex) height and weight, food eaten and weight gain. Ex) shoe size and ice cream consumption. There is a 0. 91 correlation b/t ice cream consumption and drowning deaths . Explanation: neither causes the other, but perhaps as temperature goes up these both increase. Ex) eating ice cream too fast could give you cramps and make you drown. Ex) families close to ppl who drowned may cope by eating ice cream. 3 possible causal explanations for a correlation. C (3rd variable) may cause both a and b. Recall variance (s2): how much scores vary around their mean.
