2. The following table shows U.S. exports to a certain country as a function of U.S. imports from that same country, based on trade figures in the period 1990-2003. a. Populate the table Imports (S billions) (x) Еxports (S billions) (y) ху 22 24 10 27 15 35 20 25 12 b. What is Ex? c. What is Ey d. What is n? e. What is Exy £. What is (Ex²) g. What is (Ex)² h. Obtain a regression line (obtain the coefficients) showing American's imports as a function of exports i. Obtain the coefficient of correlation r numerator denominator j. Use the data analysis tool in Excel to obtain the coefficient of correlation in part 2(i). Copy and Paste your regression output below.

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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Question
A
B
C
E
K
L
M
N
A common perception is that airline profits are strongly correlated with the price of oil. The Following are annual
net incomes of American Airlines together with the approximate price of oil in the period 2005-2010:
3
a. Populate the table
American Net
Income (S
million) (y)
Barrel Oil ($)
Year
ху
(x)
4.
5.
1
2005
56
-850
6
2006
63
250
7.
3
2007
67
450
8.
4
2008
92
-2100
2009
54
-1450
10
6.
2010
71
-700
11
12
13
14
b. What is Ex?
15
16
c. What is Ey
17
18
d. What is n?
19
20
e. What is Exy
21
22
£. What is (Ex²)
23
24
g. What is (Ex)
25
26
h. Obtain a regression line (obtain the coefficients) showing American's net income as a function of the price of oil
27
28
29
30
31
32 i. Obtain the coefficient of correlation r
33
34
35
Use the data analysis tool in Excel to obtain the coefficients in part 1(h). Copy and Paste your regression output
37 below.
36
38
39
Transcribed Image Text:A B C E K L M N A common perception is that airline profits are strongly correlated with the price of oil. The Following are annual net incomes of American Airlines together with the approximate price of oil in the period 2005-2010: 3 a. Populate the table American Net Income (S million) (y) Barrel Oil ($) Year ху (x) 4. 5. 1 2005 56 -850 6 2006 63 250 7. 3 2007 67 450 8. 4 2008 92 -2100 2009 54 -1450 10 6. 2010 71 -700 11 12 13 14 b. What is Ex? 15 16 c. What is Ey 17 18 d. What is n? 19 20 e. What is Exy 21 22 £. What is (Ex²) 23 24 g. What is (Ex) 25 26 h. Obtain a regression line (obtain the coefficients) showing American's net income as a function of the price of oil 27 28 29 30 31 32 i. Obtain the coefficient of correlation r 33 34 35 Use the data analysis tool in Excel to obtain the coefficients in part 1(h). Copy and Paste your regression output 37 below. 36 38 39
fx
A
B.
D
G
39
K
2. The following table shows U.S. exports to a certain country as a function of U.S. imports from that
same country, based on trade figures in the period 1990-2003.
40
41 a. Populate the table
Imports (S
billions) (x)
Exports ($
billions) (y)
42
ху
y
43
22
7
44
24
10
45
27
15
46
35
25
20
47
12
48
49
50
51
b. What is Ex?
52
53
c. What is Ey
54
55
d. What is n?
56
57
e. What is Exy
58
59
£. What is (Ex²)
60
61
g. What is (Ex)²
62
63
h. Obtain a regression line (obtain the coefficients) showing American's imports as a function of exports
64
65
66
m
67
b =
68
69 i. Obtain the coefficient of correlation r
70
71
numerator =
72
denominator -
73
74
75
j. Use the data analysis tool in Excel to obtain the coefficient of correlation in part 2(i).
Copy and Paste your regression output below.
76
77
78
79
L
Transcribed Image Text:fx A B. D G 39 K 2. The following table shows U.S. exports to a certain country as a function of U.S. imports from that same country, based on trade figures in the period 1990-2003. 40 41 a. Populate the table Imports (S billions) (x) Exports ($ billions) (y) 42 ху y 43 22 7 44 24 10 45 27 15 46 35 25 20 47 12 48 49 50 51 b. What is Ex? 52 53 c. What is Ey 54 55 d. What is n? 56 57 e. What is Exy 58 59 £. What is (Ex²) 60 61 g. What is (Ex)² 62 63 h. Obtain a regression line (obtain the coefficients) showing American's imports as a function of exports 64 65 66 m 67 b = 68 69 i. Obtain the coefficient of correlation r 70 71 numerator = 72 denominator - 73 74 75 j. Use the data analysis tool in Excel to obtain the coefficient of correlation in part 2(i). Copy and Paste your regression output below. 76 77 78 79 L
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