Question

In: Statistics and Probability

Consider the following set of data. (18, 14), (28, 45), (60, 33), (81, 24), (106, 56),...

Consider the following set of data.

(18, 14), (28, 45), (60, 33), (81, 24), (106, 56), (122, 6)

(a) Calculate the covariance of the set of data. (Give your answer correct to two decimal places.)


(b) Calculate the standard deviation of the six x-values and the standard deviation of the six y-values. (Give your answers correct to three decimal places.)

Sx =

Sy =


(c) Calculate r, the coefficient of linear correlation, for the data in part (a). (Give your answer correct to two decimal places.)

Solutions

Expert Solution

(a) Calculate the covariance of the set of data.

Formula for covariance is given as below:

Cov. = ∑(X – Xbar)(Y – Ybar) / (n – 1)

Calculation table is given as below:

We are given n = 6

No.

x

y

(X - Xbar)

(Y - Ybar)

(X - Xbar)(Y - Ybar)

1

18

14

-51.16667

-15.66667

801.6113339

2

28

45

-41.16667

15.33333

-631.2221361

3

60

33

-9.16667

3.33333

-30.55553611

4

81

24

11.83333

-5.66667

-67.05557611

5

106

56

36.83333

26.33333

969.9442339

6

122

6

52.83333

-23.66667

-1250.388986

Total

415

178

-207.6666667

Mean

69.1666667

29.66666667

Cov. = ∑(X – Xbar)(Y – Ybar) / (n – 1)

Cov. = -207.6666667 / (6 – 1)

Cov. = -207.6666667 / 5

Cov. = -41.5333333

Cov. = -41.53

Part b

Formula for standard deviation is given as below:

S = sqrt[∑(X – Xbar)^2/(n – 1)]

Calculation tables are given as below:

No.

x

(X - Xbar)^2

1

18

2618.028119

2

28

1694.694719

3

60

84.02783889

4

81

140.0276989

5

106

1356.694199

6

122

2791.360759

Total

415

8684.833333

Sx = sqrt(8684.833333/5)

Sx = 41.67693207

Sx = 41.677

Calculation table for Sy

No.

y

(Y - Ybar)^2

1

14

245.4445489

2

45

235.1110089

3

33

11.11108889

4

24

32.11114889

5

56

693.4442689

6

6

560.1112689

Total

178

1777.333333

Sy = sqrt(1777.333333/5)

Sy = 18.85382366

Sy = 18.854

(c) Calculate r, the coefficient of linear correlation, for the data in part (a).

Formula for correlation coefficient is given as below:

r = Cov.(x, y) / (Sx*Sy)

r = -41.53 / (41.677*18.854)

r = -0.0528521

r = -0.05


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