Presentation is loading. Please wait.

Presentation is loading. Please wait.

Correlation Indicates the relationship between two dependent variables (x and y) Symbol: r (Pearson correlation coefficient) -1< r < 1.

Similar presentations


Presentation on theme: "Correlation Indicates the relationship between two dependent variables (x and y) Symbol: r (Pearson correlation coefficient) -1< r < 1."— Presentation transcript:

1 Correlation Indicates the relationship between two dependent variables (x and y) Symbol: r (Pearson correlation coefficient) -1< r < 1

2 Positive Correlation As value of variable X increases, value of variable Y increases

3 Strong Positive Corr. r =.80

4 Strong positive correlation: - low variability of the data - one variable acts as a good predictor of the second variable.

5 Weaker Positive Corr. r =.50

6 Weaker correlations: - More variability in the data - Less predictability

7 Negative correlation As value of variable X increases, value of variable Y decreases.

8 Strong negative Corr. r = -.80

9 Social Activities Grades

10 # of bananas eaten Statistics Ability No Correlation r = 0

11 Variables measured on different scales e.g. Height and weight Correlation formula converts the scores into z-score to make them comparable

12 Limit of correlation is that it identifies a relationship, but is NOT identifying cause

13

14 Multiply each value of X by its corresponding Y. Add the products. Multiply sum by n

15 Add all the X values. Add all the Y values. Multiply the two sums.

16 Variation of the formula for SS for X

17 Variation of the formula for SS of Y

18 Quiz One Quiz Four (X) (Y) 28 30.5 28 29.5 30 39 29 36.5 21 30.5

19 Quiz One Quiz Four (X) (Y) 28 30.5 28 29.5 30 39 29 36.5 21 30.5  X = 136  Y = 166

20 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

21 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

22 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

23  X = 136  Y = 166  X 2 = 3750  Y 2 = 5584  XY = 4549 n = 5

24

25

26

27

28

29 Critical Value: df = n -- 2 r crit. =.878

30 df Critical r 3.878 5.754 10.576 20.423 50.273 100.195

31 How much variability of X and Y is jointly shared?

32 How much of the variability of X can be accounted for by variability in Y?

33 r 2 = the strength or the amount of shared variability

34 r r 2.9.81 or 81%.8.64 or 64%.7.49 or 49%

35 df Critical r 3.878 5.754 10.576 20.423 50.273 100.195

36

37

38

39

40 # of absences test grade 8 35 0 48 3 43 2 41 5 39 6 36  X = 24  Y = 242

41 # 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

42 # of absences test grade 8 35 280 0 48 0 3 43 129 2 41 82 5 39 195 6 36 216  xy = 902

43

44

45

46

47

48

49

50


Download ppt "Correlation Indicates the relationship between two dependent variables (x and y) Symbol: r (Pearson correlation coefficient) -1< r < 1."

Similar presentations


Ads by Google