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\noindent  The corresponding root-mean-square \href{https://en.wikipedia.org/wiki/Root_mean_square}{(RMS)} scatter of the data around the best-fit line is 27.5 seconds and the corresponding standard deviation is 27.7 seconds. As expected they should both be similar. To measure scatter of data around any best-fit model, I will use the RMS quantity. The RMS scatter is ~5 times the average timing error and could be indicative of a systematic process.  As a test the CURVEFIT routine has been used in a similar manner. The resulting reduced chi2 was also 95.22 matching the result from the previous section. The RMS also agrees with the results obtained from LINFIT. However, the formal $1\sigma$ uncertainties in the best-fit parameters (TZERO and PERIOD) are one magnitude smaller compared to the equivalent values obtained from LINFIT.  The data and the best-fit line is shown in Fig.~\ref{linearfit} with the residuals plotted in Fig.~\ref{linearfit_res}. \section{Linear ephemeris - conclusion}