Question Two The following table gives the experience (in years) and the number of computers sold during the previous three months by seven salespersons. Experience ( years) 4 12 10 16 Computer sold {unit) 19 42 28 31 39 35 21 1) Determine both dependent and independent variables, and explain the expected relationship between them. 2) Calculate the correlation coefficient comment on the results. |Page1 3) Estimates the simple regression model and comment on the estimated coefficients. 4) Predict the number of computers sold during the past three months by salespersons with eleven years of experience.

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Question Two
The following table gives the experience (in years) and the number of
computers sold during the previous three months by seven salespersons.
Experience ( years)
4
12
9.
6.
10
16
7
Computer sold {unit) 19
42
28
31
39
35
21
1) Determine both dependent and independent variables, and explain the
expected relationship between them.
2) Calculate the correlation coefficient comment on the results.
|Page1
3) Estimates the simple regression model and comment on the estimated
coefficients.
4) Predict the number of computers sold during the past three months by
salespersons with eleven years of experience.
Transcribed Image Text:Question Two The following table gives the experience (in years) and the number of computers sold during the previous three months by seven salespersons. Experience ( years) 4 12 9. 6. 10 16 7 Computer sold {unit) 19 42 28 31 39 35 21 1) Determine both dependent and independent variables, and explain the expected relationship between them. 2) Calculate the correlation coefficient comment on the results. |Page1 3) Estimates the simple regression model and comment on the estimated coefficients. 4) Predict the number of computers sold during the past three months by salespersons with eleven years of experience.
Formula Sheet
E,(x; – X)²
s2
%3D
n - 1
CV =
X 100
E(x; - X)2
S =
n - 1
-
Ztab
Z =
First quartile location = 1/4 (n+1)
Third quartile location= 3/4 (n+1)
Value of quartile= start + ratio * distance
ηΣ xy - ΣxΣy
Bo = Ÿ – ß,X
r =
VIηΣ x2-(Σ x)?] [n Σ y? - (Σν)?1
ηΣ xy -ΣxΣy
η Σ x2 - (Σ x)2
Simple linear regression model
Yi = Bo + B1ס + Uj
Where i = 1,2,...n
Estimated simple linear regression model
P = Bo + B,X,
%3D
Critical Values |Ztabl
0.001
0.005
0.010
0.025
0.050
0.100
|Ztabl
3.090
2.576
2.326
1.960
1.645
1.282
|Page 4
Transcribed Image Text:Formula Sheet E,(x; – X)² s2 %3D n - 1 CV = X 100 E(x; - X)2 S = n - 1 - Ztab Z = First quartile location = 1/4 (n+1) Third quartile location= 3/4 (n+1) Value of quartile= start + ratio * distance ηΣ xy - ΣxΣy Bo = Ÿ – ß,X r = VIηΣ x2-(Σ x)?] [n Σ y? - (Σν)?1 ηΣ xy -ΣxΣy η Σ x2 - (Σ x)2 Simple linear regression model Yi = Bo + B1ס + Uj Where i = 1,2,...n Estimated simple linear regression model P = Bo + B,X, %3D Critical Values |Ztabl 0.001 0.005 0.010 0.025 0.050 0.100 |Ztabl 3.090 2.576 2.326 1.960 1.645 1.282 |Page 4
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