Consists of a set of ordered pairs Indicates both the magnitude and direction of the relationship...

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Consists of a set of ordered pairs Indicates both the magnitude and direction of the relationship between variables Range is from -1.0 to +1.0 Correlation --- Basic Concepts

Transcript of Consists of a set of ordered pairs Indicates both the magnitude and direction of the relationship...

Page 1: Consists of a set of ordered pairs Indicates both the magnitude and direction of the relationship between variables Range is from -1.0 to +1.0 Correlation.

• Consists of a set of ordered pairs

• Indicates both the magnitude and direction of the relationship between variables

• Range is from -1.0 to +1.0

Correlation --- Basic Concepts

Page 2: Consists of a set of ordered pairs Indicates both the magnitude and direction of the relationship between variables Range is from -1.0 to +1.0 Correlation.

Fathers Height (in inches)

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Page 3: Consists of a set of ordered pairs Indicates both the magnitude and direction of the relationship between variables Range is from -1.0 to +1.0 Correlation.

Consider these --- A correlation exists between:

• The total amount of losses in a fire and the number of firemen that were putting out the fire

• Cigarette smokers and lower GPAs

• The number of churches in a city and amount of alcohol consumed

• The amount of fat in diets and cancer rates

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Good

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False Rejections

Correct Acceptances

Correct Rejections

False Acceptances

Fail PassCut-off score

Job Performance

Test scores

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X

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Computation of Standard Deviation & Variance

x

(EX/N) = 30 (Mean)

EX = 150

Test Scores

Deviation scores (scores

minus the mean)

x2

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Squared deviation scores

EX2 = 1000 (Sum of the squared deviation scores)

EX2/N = 200 (the variance or s2)

200 = 14.14 (standard deviation)s2 = standard deviation or s

Mean of the sum of the squared deviation scores

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Computational Formula for r

X Y XY X Y 2 2

1 4 4 1 16

2 3 6 4 9

3 5 15 9 25

4 7 28 16 49

5 6 30 25 36

X = 15 Y = 25 XY = 83 X = 55 Y = 135

r = =

= = = = .80

N XY – ( X) ( Y) 5(83) – (15)(25)

[N X – ( X) ][N Y - ( Y) ] [5(55) – (15) ][5(135) – (25)

415 – 375 40 40

(275 – 225)(675 – 625) (50)(50) 50

2 2 2 2 2 2

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Correlation

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Negative Correlation

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Significant Correlation

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No Correlation

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Significant Correlation

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Effect of raising cutoff score?

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Significant Correlation

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