In: Statistics and Probability
Identify and interpret the smallest positive residual. Provide the complete list of residuals.
X | Y |
1870 | 3.38 |
1330 | 1.16 |
1760 | 1.58 |
1520 | 2.65 |
1300 | 1.98 |
1520 | 2.39 |
1640 | 2.49 |
1490 | 2.81 |
1300 | 2.95 |
1360 | 1.69 |
1940 | 3.49 |
1730 | 2.8 |
1790 | 2.95 |
1780 | 3.8 |
1730 | 2.64 |
1380 | 2.36 |
1580 | 3.1 |
1900 | 1.96 |
1640 | 3.08 |
1540 | 2.24 |
1350 | 2.59 |
1380 | 2.43 |
1780 | 1.95 |
1700 | 2.07 |
1610 | 2.34 |
1720 | 3.59 |
2070 | 3.59 |
1210 | 2.12 |
1720 | 2.48 |
1510 | 2.37 |
1790 | 2.1 |
2100 | 2.55 |
1690 | 3.01 |
1490 | 2.67 |
1760 | 1.87 |
1540 | 2.21 |
1810 | 2.37 |
1430 | 3.37 |
1540 | 1.84 |
1270 | 2.96 |
Ans:
Regression equation:
y'=0.0008x+1.2865
X | Y | Y' | residual=(y-y') |
1870 | 3.38 | 2.7825 | 0.5975 |
1330 | 1.16 | 2.3505 | -1.1905 |
1760 | 1.58 | 2.6945 | -1.1145 |
1520 | 2.65 | 2.5025 | 0.1475 |
1300 | 1.98 | 2.3265 | -0.3465 |
1520 | 2.39 | 2.5025 | -0.1125 |
1640 | 2.49 | 2.5985 | -0.1085 |
1490 | 2.81 | 2.4785 | 0.3315 |
1300 | 2.95 | 2.3265 | 0.6235 |
1360 | 1.69 | 2.3745 | -0.6845 |
1940 | 3.49 | 2.8385 | 0.6515 |
1730 | 2.8 | 2.6705 | 0.1295 |
1790 | 2.95 | 2.7185 | 0.2315 |
1780 | 3.8 | 2.7105 | 1.0895 |
1730 | 2.64 | 2.6705 | -0.0305 |
1380 | 2.36 | 2.3905 | -0.0305 |
1580 | 3.1 | 2.5505 | 0.5495 |
1900 | 1.96 | 2.8065 | -0.8465 |
1640 | 3.08 | 2.5985 | 0.4815 |
1540 | 2.24 | 2.5185 | -0.2785 |
1350 | 2.59 | 2.3665 | 0.2235 |
1380 | 2.43 | 2.3905 | 0.0395 |
1780 | 1.95 | 2.7105 | -0.7605 |
1700 | 2.07 | 2.6465 | -0.5765 |
1610 | 2.34 | 2.5745 | -0.2345 |
1720 | 3.59 | 2.6625 | 0.9275 |
2070 | 3.59 | 2.9425 | 0.6475 |
1210 | 2.12 | 2.2545 | -0.1345 |
1720 | 2.48 | 2.6625 | -0.1825 |
1510 | 2.37 | 2.4945 | -0.1245 |
1790 | 2.1 | 2.7185 | -0.6185 |
2100 | 2.55 | 2.9665 | -0.4165 |
1690 | 3.01 | 2.6385 | 0.3715 |
1490 | 2.67 | 2.4785 | 0.1915 |
1760 | 1.87 | 2.6945 | -0.8245 |
1540 | 2.21 | 2.5185 | -0.3085 |
1810 | 2.37 | 2.7345 | -0.3645 |
1430 | 3.37 | 2.4305 | 0.9395 |
1540 | 1.84 | 2.5185 | -0.6785 |
1270 | 2.96 | 2.3025 | 0.6575 |