When I plot T2 vs. m, I did a normal linear regression. This takes all the data and find the linear function that best fits the data. That means that the y-intercept doesn't HAVE to be zero.

Data Visuaulization with the Vega-Lite library (not Observable’s Plot) from the University of Washington Interactive Data Lab (if you’d like to try another visualization library with Observable).

This Weibull plot shows a best-fit line with a slope of beta going through four data points. The value for eta is derived by taking the point on the best-fit line that intersects with a line drawn ...

The 36,000-population side of the plot went from 252 to 285, with an average of 272 bushels per acre. “Ear samples are taken from these plots for our hand harvest this fall,” Ferrie says.

His message said, “Due to the big difference in scale between values and their percentage change (e.g., 56050, -41) it is better to display the data in TWO plots.” ...