The following data shows the score of 12 students for Accoun

The following data shows the score of 12 students for Accounting and Statistics  

         examinations.

a)Calculate a simple correlation coefficient

b)Fit a regression equation of Statistics on Accounting using least square estimates.

c)Predict the score of Statistics if the score of accounting is 85.

                                                                                                                                                                         

Accounting
X

Statistics
Y

1

74.00

81.00

2

93.00

86.00

3

55.00

67.00

4

41.00

35.00

5

23.00

30.00

6

92.00

100.00

7

64.00

55.00

8

40.00

52.00

9

71.00

76.00

10

33.00

24.00

11

30.00

48.00

12

71.00

87.00

Accounting
X

Statistics
Y

1

74.00

81.00

2

93.00

86.00

3

55.00

67.00

4

41.00

35.00

5

23.00

30.00

6

92.00

100.00

7

64.00

55.00

8

40.00

52.00

9

71.00

76.00

10

33.00

24.00

11

30.00

48.00

12

71.00

87.00

Solution

correlation coefficient:

Step 1: Find X?Y , X2 and Y2 as it was done in the table below.

Step 2: Find the sum of every column to get:

?X=687 , ?Y=741 , ?X?Y=48407 , ?X2=45591 , ?Y2=52525

Step 3: Use the following formula to work out the correlation coefficient.

r r = n??XY??X??Y[n?X2?(?X)2]?[n?Y2?(?Y)2]??????????????????????????????????= 12?48407?687?741[12?45591?6872]?[12?52525?7412]?????????????????????????????????0.9194

r = 0.9194

Regression equation is y = 7.019 + 0.956?x

x=85

y = 7.019+88.279

X Y X?Y X?X Y?Y  
74 81 5994 5476 6561
93 86 7998 8649 7396
55 67 3685 3025 4489
41 35 1435 1681 1225
23 30 690 529 900
92 100 9200 8464 10000
64 55 3520 4096 3025
40 52 2080 1600 2704
71 76 5396 5041 5776
33 24 792 1089 576
30 48 1440 900 2304
71 87 6177 5041 7569
The following data shows the score of 12 students for Accounting and Statistics examinations. a)Calculate a simple correlation coefficient b)Fit a regression eq
The following data shows the score of 12 students for Accounting and Statistics examinations. a)Calculate a simple correlation coefficient b)Fit a regression eq

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