b) In a study to determine whether the height of time (in months) that a person has b employed with a company is related to hourly pay, the following data were obtair | 32 | 24 29 26 22 Length (X |months) 5 45 35 38 Hourly 17 18 20 24 35 33 38 рay | (SY) Determine i) The Spearman's Rank Correlation Coefficient. ii) The Pearson Product Moment Correlation Coefficient. iii) Fit a linear regression Model of the form ý = Bo + B1 x From b ii) above find Y when V- 74 5

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b) In a study to determine whether the height of time (in months) that a person has been
employed with a company is related to hourly pay, the following data were obtained:
45
32
24
29
26
22
15
Length
(X
months)
Hourly
35
38
5
17
18
20
24
35
33
38
50
рay
|($Y)
Determine
i) The Spearman's Rank Correlation Coefficient.
ii) The Pearson Product Moment Correlation Coefficient.
Fit a linear regression Model of the form ý = Bo + B1x
(7 marks)
(7 marks)
iii)
iv)
(7 marks)
(2 marks)
From b iii) above, find X when Y=74.5
Transcribed Image Text:b) In a study to determine whether the height of time (in months) that a person has been employed with a company is related to hourly pay, the following data were obtained: 45 32 24 29 26 22 15 Length (X months) Hourly 35 38 5 17 18 20 24 35 33 38 50 рay |($Y) Determine i) The Spearman's Rank Correlation Coefficient. ii) The Pearson Product Moment Correlation Coefficient. Fit a linear regression Model of the form ý = Bo + B1x (7 marks) (7 marks) iii) iv) (7 marks) (2 marks) From b iii) above, find X when Y=74.5
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