Correlation

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6 Terms

1
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Co-variance

variance on common between x + y

<p>variance on common between x + y </p>
2
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Pearson’s product moment correlation co-efficent

strength and sign of relationship

parametric

values closer to +1 or -1 = strong relationship

<p>strength and sign of relationship</p><p>parametric</p><p>values closer to +1 or -1 = strong relationship </p>
3
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data requirements for Pearson’s product moment correlation

interval scale data - mass etc

true relationship between x and y variable is linear

scatter around the true line

4
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difficulties for Pearson’s product moment correlation

outlier points can have big effect

need to plot data to see what the relationship looks like

5
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non parametric - Spearman’s ranks

non-linear relationships between 2 datasets

closer to 1 = stronger

<p>non-linear relationships between 2 datasets</p><p>closer to 1 = stronger </p>
6
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correlation and causation

2 things may vary together - but with no casual relationship between them

association not causation