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a). 8 students from the KCA University Financial Modelling class of January 2023 have been asked to generate the equation for the line of best

a). 8 students from the KCA University Financial Modelling class of January 2023 have been asked to generate the equation for the line of best fit from a data set obtained from a logistics company in which cargo handling cost is hypothesized to be influenced by the weight of cargo. They have presented their equations along with the total sum of squared errors/residuals (SSR) for the cargo handling cost (ksh) and the weight of cargo (tons) as follows;

Sno.

Student

Line of best fit

SSR

1.

Kendy

Y=18,600+140X

21,456

2.

Bernard

Y=16,200+164X

18,300

3.

Celine

Y=20,500+133X

31,240

4.

Newton

Y=21,200+125X

8,367

5.

Giovanna

Y=19,800+141X

14,520

6.

Elsie

Y=17,300+138X

8,674

7.

Beverly

Y=19,000+142X

12,496

8.

Nickson

Y=20,800+128X

8,582

Their lecturer has also generated the OLS estimate of the equation as Y= 20,600+128X.

Required:

Calculate the difference in the estimated cargo handling cost (based on the very best line of best fit) and the regression equation when the weight of cargo carried is 340 tons.

b). A local retail outlet has assembled sales data for two of its products that have elicited a lot of consumer excitement as follows;

Champagne (units)

45

48

43

49

55

54

59

63

65

Club soda (units)

14

18

17

23

18

26

24

25

27

Required:

Calculate the Spearmans Rank correlation coefficient.

c). 12 students from the KCA University Financial Modelling class of January 2023 have been asked to generate the equation for the line of best fit from a data set obtained from a rancher who fattens bulls using a certain animal feed supplement. They have presented their equations along with the total sum of squared errors/residuals (SSR) for the weight of the bulls (kgs) and the number of sachets of the feed supplement as follows;

Sno.

Student

Line of best fit

SSR

1.

Fatuma

Y=186+40X

212,456

2.

Brilliance

Y=162+64X

186,300

3.

Mercy

Y=205+33X

315,240

4.

Joseph

Y=212+25X

84,367

5.

Faith

Y=198+41X

147,520

6.

Everlyne

Y=173+38X

87,674

7.

Benedict

Y=190+42X

121,496

8.

Samuel

Y=208+28X

81,582

9.

Gregory

Y=199+37X

314,421

10.

Boaz

Y=206+24X

258,415

11.

Kennedy

Y=177+48X

154,783

12.

Harrison

Y=188+45X

94,752

Required:

Calculate the best estimate of the weight (in Kgs) of a bull that will be fed using 14 sachets of the feed supplement.

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