I found a cubic equation that fits the data in the paper with an R² value of 0.999264, which is phenomenal. It is:
0.7225x^3 - 4.48536x^2 + 8.96214x - 3.578
Where "x" is the zone number.
This works regardless of how your zones are setup, meaning their percentage differences don't need to be strictly increasing.
For example, if I spend 100% of my time in a zone, the PPi values for my #running training zones become:
Zone 1: 81.64
Zone 2: 46.65
Zone 3: 41.79
Zone 4: 54.58
Zone 5: 235.86
Aaron Toponce ⚛️:debian: /
npub1t9…t8529
2024-07-12 18:20:07
in reply to nevent1q…y65g
Author Public Key
npub1t9cz9v7zph5jvadd8rjfp25msrx6r0hdxnsyfmx88k8qp3pvv04szt8529Published at
2024-07-12 18:20:07Event JSON
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"content": "I found a cubic equation that fits the data in the paper with an R² value of 0.999264, which is phenomenal. It is:\n\n0.7225x^3 - 4.48536x^2 + 8.96214x - 3.578\n\nWhere \"x\" is the zone number.\n\nThis works regardless of how your zones are setup, meaning their percentage differences don't need to be strictly increasing.\n\nFor example, if I spend 100% of my time in a zone, the PPi values for my #running training zones become:\n\nZone 1: 81.64\nZone 2: 46.65\nZone 3: 41.79\nZone 4: 54.58\nZone 5: 235.86",
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