Populate the table American Net Barrel Oil ($) Year Income ($ ху y (x) million) (y) 2005 56 -850 47600 3136 722 2006 63 250 15750 3969 625 2007 67 450 30150 4489 202 2008 92 -2100 -193200 8464 4410 5 2009 54 -1450 -78300 2916 2102 6. 2010 71 -700 49700 5041 490 234 S6
Permutations and Combinations
If there are 5 dishes, they can be relished in any order at a time. In permutation, it should be in a particular order. In combination, the order does not matter. Take 3 letters a, b, and c. The possible ways of pairing any two letters are ab, bc, ac, ba, cb and ca. It is in a particular order. So, this can be called the permutation of a, b, and c. But if the order does not matter then ab is the same as ba. Similarly, bc is the same as cb and ac is the same as ca. Here the list has ab, bc, and ac alone. This can be called the combination of a, b, and c.
Counting Theory
The fundamental counting principle is a rule that is used to count the total number of possible outcomes in a given situation.
![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
Barrel Oil (S)
Year
Income
xy
(x)
million) (y)
4.
5.
2005
56
-850
47600
3136
722500
6.
2006
63
250
15750
3969
62500
7.
3
2007
67
450
30150
4489
202500
8.
4
2008
92
-2100
-193200
8464
4410000
9.
2009
54
-1450
-78300
2916
2102500
10
6
2010
71
-700
49700
5041
49000
11
403
4400
-322900
28015 79990000
12
13
14
b. What is Ex?
403
15
16
c. What is Ey
4400
17
18
d. What is n?
6.
19
20
e. What is Exy
-322,900
21
22
f. What is (Ex)
28018
23
24
g. What is (Ex)
7,990,000
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
36
37 j. Use the data analysis tool in Excel to obtain the coefficients in part 1(h). Copy and Paste your regression output below.
38](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ffb3ea843-8c29-4092-98d1-bb88a69287a3%2F321b8d34-4ed9-4253-8cd4-57fecd10db6a%2Fkg9viv_processed.jpeg&w=3840&q=75)
![](/static/compass_v2/shared-icons/check-mark.png)
(
Please note that
)
The data for American's net income and price of oil is listed below
x | y |
56 | -850 |
63 | 250 |
67 | 450 |
92 | -2100 |
54 | -1450 |
71 | -700 |
As given,
Here American's net income is the response variable (x) and the price of oil is an explanatory variable (y).
h) It is required to obtain the regression line.
First calculating the coefficeint of regression (b)
-28.9034
The formula for the intercept (a) is
1208.009
The regression line is
y = 1208.009 -28.9034 x
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