Country | Birth (x) | Life Exp (y) | (x-x_)^2 | (y-y_)^2 | (x-x_)(y-y_) |
A | 2.2 | 74.6 | 6.5536 | 1.7424 | -3.3792 |
B | 1.7 | 75.6 | 9.3636 | 5.3824 | -7.0992 |
C | 3.7 | 63.9 | 1.1236 | 87.9844 | 9.9428 |
D | 1.5 | 79.6 | 10.6276 | 39.9424 | -20.6032 |
E | 2.4 | 72.2 | 5.5696 | 1.1664 | 2.5488 |
F | 2.9 | 67.4 | 3.4596 | 34.5744 | 10.9368 |
G | 24.8 | 79.3 | 401.6016 | 36.2404 | 120.6408 |
H | 3.7 | 68.1 | 1.1236 | 26.8324 | 5.4908 |
I | 2.1 | 75.3 | 7.0756 | 4.0804 | -5.3732 |
J | 2.6 | 76.8 | 4.6656 | 12.3904 | -7.6032 |
Total | 47.6 | 732.8 | 451.164 | 250.336 | 105.502 |
After delating the outlier observation
Country | Birth (x) | Life Exp (y) | (x-x_)^2 | (y-y_)^2 | (x-x_)(y-y_) |
A | 2.2 | 74.6 | 0.1089 | 3.9601 | -0.6567 |
B | 1.7 | 75.6 | 0.6889 | 8.9401 | -2.4817 |
C | 3.7 | 63.9 | 1.3689 | 75.8641 | -10.1907 |
D | 1.5 | 79.6 | 1.0609 | 48.8601 | -7.1997 |
E | 2.4 | 72.2 | 0.0169 | 0.1681 | 0.0533 |
F | 2.9 | 67.4 | 0.1369 | 27.1441 | -1.9277 |
H | 3.7 | 68.1 | 1.3689 | 20.3401 | -5.2767 |
I | 2.1 | 75.3 | 0.1849 | 7.2361 | -1.1567 |
J | 2.6 | 76.8 | 0.0049 | 17.5561 | 0.2933 |
Total | 22.8 | 653.5 | 4.9401 | 210.0689 | -28.5433 |
HI ISLI UCIUI-Liedleu quesLIUI Country Data from 10 countries can be used to examine the association...
Might we be able to predict life expectancies from birthrates? Below are bivariate data giving birthrate and life expectancy information for each of twelve countries. For each of the countries, both x, the number of births per one thousand people in the population, and y, the female life expectancy (in years), are given. Also shown are the scatter plot for the data and the least squares regression line. The equation for this line is 9 = = 82.46 -0.48x Birthrate,...
Suppose that you have in your possession bivariate data giving birthrate and life expectancy information for a random sample of 15 countries. For each of the countries, the data give both x, the number of births per one thousand people in the country's population, and y, the country's female life expectancy in years. The least squares regression equation computed from your data is y = 84.06 -0.51x. Suppose that you're predicting the female life expectancy for a country whose birthrate...
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