What Chuck Does

Results Discussion

I decided to graph out my results for the past 3 weeks. From the first graph, it’s obvious that there was no real weight loss until the last 7 days. The second graph shows the correlation between hydration % and fat % from the Tanita scale.

The above two charts show a few things. It first shows the obvious relationship between weight and fat % over the last 3 weeks. But it also shows what I hope to be a shift in fat % versus weight. The fact that the data does not support an “explicitly” negative relationship reflects that there might be a slow but existant decrease in fat % over time while holding weight constant.

The same can be said about weight vs. hydration. It’s obvious that when you increase hydration %, that weight would increase. However the goal also exists that if you hold hydration constant that the weight would decrease over time if we’re losing fat.

Much of the data is inconclusive. There are several reasons for this. First of all, there aren’t enough data points for a high enough “degree of freedom”. Secondly, I haven’t performed the proper multiple regression necessary to fully analyze the results. Actually I have (below) but I would be hard pressed to actually explain the results properly. The important thing is that the Significance F for the model is 0.01. Our model comes out be:

Weight = -161.34+4.71(F)-4.07(H) where F=Fat% and H=Hydration%

With this model I can hold hydration constant and plug in different values for F to see what my predicted weight would be. For example let’s start with the assumption that at 12.8% fat I’m 62.3% hydration (as suggested by past data points) where weight = 152.5 lbs. If I want to know what my weight would be for 11% bodyfat, I would plug in 11% for fat and 62.3% hydration. The model suggests that I would be 144 lbs. This confirms my belief that I’d have to lose many pounds to reflect a 1% loss in body fat.

This is just the beginning of my analysis as there are obvious improvements to be made on my fronts! Stay tuned.