| X | Y | XY | X² | Y² |
| 26 | 41 | 1066 | 676 | 1681 |
| 16 | 33 | 528 | 256 | 1089 |
| 13 | 31 | 403 | 169 | 961 |
| 1 | 2 | 2 | 1 | 4 |
| 10 | 11 | 110 | 100 | 121 |
| 9 | 29 | 261 | 81 | 841 |
| 26 | 41 | 1066 | 676 | 1681 |
| 12 | 29 | 348 | 144 | 841 |
| Ʃx = | Ʃy = | Ʃxy = | Ʃx² = | Ʃy² = |
| 113 | 217 | 3784 | 2103 | 7219 |
| Sample size, n = | 8 |
| x̅ = Ʃx/n = | 14.125 |
| y̅ = Ʃy/n = | 27.125 |
| SSxx = Ʃx² - (Ʃx)²/n = | 506.875 |
| SSyy = Ʃy² - (Ʃy)²/n = | 1332.875 |
| SSxy = Ʃxy - (Ʃx)(Ʃy)/n = | 718.875 |
Slope, b = SSxy/SSxx = 1.41825
y-intercept, a = y̅ -b* x̅ = 7.09223
b) Regression equation :
ŷ = 7.09 + 1.42x
The slope means that as the GDP per person of a country increase by one thousand dollars, the oil consumption per person tends to increase by 1.42 barrels per person.
The y-intercept is the oil consumption per person for a country with GDP per person of 0 thousand dollars. Since there are no observation with such x values, the y-intercept does not have contextual meaning.
c) Correlation:
Correlation coefficient, r = SSxy/√(SSxx*SSyy) = 0.8746
d) Predicted value for Nation G:
Predicted value of y at X =26
ŷ = 7.0922 + 1.4182 * 26 = 43.97
Residual = original- predicted = 41 - 43.97 = -2.97
Nation G has Oil consumption that is 2.97 less than would be predicted given their GDP.
An aricle shows a soaerplet for many nations shown on he plot were approximaialy as shown in the tab 12 The soatter...