Statistical Regression in R and Theory

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data-table-B18.xls

Sheet1

y x_1 x_2 x_3 x_4 x_5 x_6 x_7 x_8
343 0 52.8 811.7 2.11 220 261 87 1.8
356 1 52.8 811.7 2.11 220 261 87 1.8
344 0 50 821.3 2.11 223 260 87 16.6
356 1 50 821.3 2.11 223 260 87 16.6
352 0 47.2 832 2.09 221 261 92 23
361 1 47.2 832 2.09 221 261 92 23
372 0 47 831.3 2.26 190 323 75 25.1
355 1 47 831.3 2.26 190 323 75 25.1
375 0 48.3 836.8 2.47 180 364 71 26.1
359 1 48.3 836.8 2.47 180 364 71 26.1
364 0 44.7 808.3 1.41 180 300 64 20
357 1 44.7 808.3 1.41 180 300 64 20
368 0 55.7 808.7 1.44 176 299 64 20.5
360 1 55.7 808.7 1.44 176 299 64 20.5
372 0 52.8 813.2 1.96 175 301 75 17.3
352 1 52.8 813.2 1.96 175 301 75 17.3
y: fuel consumption (g/km) x_1: vehicle (0 - bus, 1 - truck) x_2: cetane number x_3: density (g/L, 15 degrees C) x_4: viscosity (KV, 40 degrees C) x_5: initial boiling point (degrees C) x_6: final boiling point (degrees C) x_7: flash point (degrees C) x_8: total aromatics (percent)

Sheet2

Sheet3