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Correlation

Correlation. Chapter 10. Correlation Analysis. Measures the strength of linear association between two numerical variables. Example: Height of Men and Shoe Size. Correlation Coefficient (r). Strength of association Values range from -1 to +1

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Correlation

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  1. Correlation Chapter 10

  2. Correlation Analysis • Measures the strength of linear association between two numerical variables. • Example: Height of Men and Shoe Size

  3. Correlation Coefficient (r) • Strength of association • Values range from -1 to +1 • Positive Linear Relationship– if the points seem to loosely fall around a line sloped upwards. • Negative Linear Relationship – if the points fall around a straight line sloped downwards.

  4. Scatter Plot

  5. Calculator 1. Input the data set in two lists 2. Call up the LinRegTTest Stat Tests LinRegTTest 3. Specify the two lists where you stored the data

  6. Example • Calculate the Correlation Coefficient Between X and Y: r = 0.9527 There is a strong positive linear association between X and Y

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