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bad data is present in almost every data set that comes from measurements physical measurements now we have bad data with regression we want to be able to remove those data points if possible such as outliers but if we cant remove them what can we do in terms of the objective function of our regression to minimize the effect of outliers now squared errors it amplifies that outlier and perhaps shifts the whole curve up just due to that squared error component from that one measurement but we want to in this case use an L1 Norm to minimize the effect of that single outlier so were going to go ahead and just like that tulip right there that red one maybe we cant identify or maybe we cant remove it from our data set what can we do with the objective function were going to determine the kinetic constants of KF forward and KB backward this is a reversible reaction with a plus 2B goes to C plus d in a batch reactor now we have this First Rate equation that describes the concentration of