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Correlation Indicates the relationship between two dependent variables (x and y) Symbol: r (Pearson correlation coefficient) -1< r < 1
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Positive Correlation As value of variable X increases, value of variable Y increases
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Strong Positive Corr. r =.80
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Strong positive correlation: - low variability of the data - one variable acts as a good predictor of the second variable.
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Weaker Positive Corr. r =.50
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Weaker correlations: - More variability in the data - Less predictability
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Negative correlation As value of variable X increases, value of variable Y decreases.
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Strong negative Corr. r = -.80
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Social Activities Grades
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# of bananas eaten Statistics Ability No Correlation r = 0
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Variables measured on different scales e.g. Height and weight Correlation formula converts the scores into z-score to make them comparable
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Limit of correlation is that it identifies a relationship, but is NOT identifying cause
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Multiply each value of X by its corresponding Y. Add the products. Multiply sum by n
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Add all the X values. Add all the Y values. Multiply the two sums.
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Variation of the formula for SS for X
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Variation of the formula for SS of Y
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Quiz One Quiz Four (X) (Y) 28 30.5 28 29.5 30 39 29 36.5 21 30.5
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Quiz One Quiz Four (X) (Y) 28 30.5 28 29.5 30 39 29 36.5 21 30.5 X = 136 Y = 166
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Quiz One Quiz Four (X) X 2 (Y) 28 784 30.5 28 784 29.5 30 900 39 29 841 36.5 21 441 30.5 X 2 = 3750
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Quiz One Quiz Four (X) (Y) Y 2 28 30.5 930.25 28 29.5 870.25 30 39 1521 29 36.5 1332.25 21 30.5 930.25 Y 2 = 5584
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Quiz One Quiz Four (X) (Y) (X)(Y) 28 30.5 854 28 29.5 826 30 39 1170 29 36.5 1058.5 21 30.5 640.5 XY = 4549
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X = 136 Y = 166 X 2 = 3750 Y 2 = 5584 XY = 4549 n = 5
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Critical Value: df = n -- 2 r crit. =.878
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df Critical r 3.878 5.754 10.576 20.423 50.273 100.195
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How much variability of X and Y is jointly shared?
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How much of the variability of X can be accounted for by variability in Y?
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r 2 = the strength or the amount of shared variability
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r r 2.9.81 or 81%.8.64 or 64%.7.49 or 49%
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df Critical r 3.878 5.754 10.576 20.423 50.273 100.195
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# of absences test grade 8 35 0 48 3 43 2 41 5 39 6 36 X = 24 Y = 242
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# of absences test grade 8 64 35 1225 0 0 48 2304 3 9 43 1849 2 4 41 1681 5 25 39 1521 6 36 36 1296 X 2 = 138 Y 2 = 9876
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# of absences test grade 8 35 280 0 48 0 3 43 129 2 41 82 5 39 195 6 36 216 xy = 902
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