1. Correlation - measure of relationship between 2 variables
    1. Scatter plot
    2. Linear - straight line, Formula: Y = bX + a
      1. a = Y intercept
      2. b = slope
    3. Direction
      1. Positive
      2. Negative
    4. Magnitude (Strength) of Relationship
      1. Perfect
      2. Imperfect
  2. Pearson's r - a measure of the extent to which paired scores occupy the same or opposite positions within their own distributions.
    1. Using Z scores
    2. Computational equation -
      1. Variability of Y accounted for by X - Prediction of Y by X
        1. Deviation of observed Y score from mean of Y scores =
        2. Total variability of Y scores =
        3. Therefore: r =
      2. r2 - coefficient of determination
    3. r is appropriate when:
      1. There are other variations of r for:
  3. Effects on r
    1. Range -
    2. Extreme Scores -
  4. Correlation and Causation
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