Hi,
I am looking for a way to identify which data points to include in my bivariate linear regression. The slope is increasing, then reaching a steady state and subsequently decreasing. I would like to use linear regression in the steady state phase and want to use statistics to determine which data points should be included in this i.e. when the steady state is reached and the residuals for the trendline are minimal. So far, I have fitted a line with different sets of data points and compared R2. However, there must be a smarter way to do this...
Looking forward to any advice 
