For the data of Table 12.4.1, we could also use the nonparametric bootstrap to assess the standard error from the LAD and M-estimator fit.
(a) Fit the line y = α + βx to get estimates and .
(b) Generate new residuals by resampling from the fitted residuals and re-estimate α and β.
(c) Do part (c) B times and calculate the standard deviation of and .

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Table 12.4.1. Values of CO2 and 0 in the pouches of 23 potoroos (McPherson 1990) Anim 7 %Os T-102 T55-104-16 -1.7-19 -2.4 - 18. %CO2 1 1.2 1.1 1.4 2.3 1.7 1.7 2.4 Animal 18.2 186 1912 18.2-T8TT14, 18-TTA %O2 %СО2 2.1 2.1 1.2 2.3 1.9 2.4 2.6 2.9 Animal %02 16.5 17.2 17.3 17.8 17.3 18.4 16.9 %CO2 4.0 3.3 3.0 3.4 2.9 1.9 3.9 18.6 19.2 18.7 1 17 18 19 20 21 2 23