Linear regression between mood and energy

mood = 0.825810375087 * energy + -0.0729595387559

r=0.758294792793, p=1.88373127793e-06, stderr=0.13663099386

Linear regression between energy and stomach

energy = 0.258583651008 * stomach + 2.34871983188

r=0.304880567838, p=0.107798798334, stderr=0.155454941953

Linear regression between stomach and mood

stomach = 0.339858387287 * mood + 2.29632783485

r=0.313914641094, p=0.0972479087456, stderr=0.197823185145

I was tracking 3 variables: how energetic I feel, how my mood is in general, and how my stomach feels. I figured they’d either all be independent (because those seem like they could be independent) or they’d all be strongly correlated (because I enter them at the same time, and they’re all 1-5, so if I’m hitting 3 for the first one, say, I’m more likely to hit 3 for the second one.)

Surprisingly, it looks like there’s a strong correlation between mood and energy, but only a pretty weak correlation between energy and stomach or stomach and mood. I’m maybe half confident that I’m interpreting that right, but if so, then that means that the more energized I am, the better mood I’ll be in. That makes sense to me. I like being energized. I don’t get into high-energy negative states (like anger) very much; if I’m high-energy, I’m likely feeling pretty positive. And optimizing the state of my stomach: maybe not even worth it! (I mean, for “feeling good” reasons. Optimizing the state of my stomach might have good long-term health implications, say.)

(that’s mood on the x-axis, energy on the y-axis, each data point is one day, sorry this graph is weak, I’m learning here)

Still more stats to follow! (including, y’know, the important ones, where I figure out whether no-grains is worth it at all)

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