Country |
Life expectancy (years) |
Infant mortality (deaths per 1,000 live births) |
|||
1 |
58 |
105 |
|||
2 |
57 |
106 |
|||
3 |
60 |
64 |
|||
4 |
57 |
66 |
|||
5 |
58 |
70 |
|||
6 |
63 |
56 |
|||
7 |
61 |
45 |
|||
8 |
65 |
30 |
|||
9 |
62 |
49 |
|||
10 |
66 |
42 |
|||
11 |
64 |
28 |
|||
12 |
79 |
10 |
|||
13 |
72 |
6 |
|||
14 |
79 |
4 |
|||
15 |
80 |
4 |
|||
16 |
75 |
1 |
b. Compute r and r2. Based on the value for r2, determine how much of the variation in the variable can be accounted for by the best-fit line.
r =
r2 =
Solution: We will use Excel to find the Correlation coefficient r between the two variables and the results are given below:
Therefore the correlation Coefficient Between Life Expectancy and Infant mortality is -0.88 rounded to two decimal places
or r= -0.88
And
So it means 77% of the variation in the variable can be accounted for by the best-fit line.
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