When analyzing a non-linear association on a scatterplot using a linear model, how are the strategies of identifying a linear domain and identifying outliers similar? Both strategies select only 1 data point to be excluded. Both strategies allow data points to be removed anywhere in the data. Both strategies try to keep as much of the data as possible. Both strategies allow an unlimited number of data points to be excluded