he cannot calculate scaling factors when the units of one dimension is the inverse of the other.... he should have taken 1/time and plotted against fequency to check linearity, when you do that, it becomes completely linear:
Is there a published scientific paper on that?

Thats reminiscent of people pricing things at $24.99 instead of $25 to make people see the smaller number. Its not hard to make your numbers look good when graphing, same things goes for finding percentages.

As to normalizing to a slower time we have to use stock as the baseline else you are going on prediction only. Using percentages wasnt needed but using either percentages of increase over stock or performance product factors would have had the same outcome, just maybe more confusing numbers for some.