I then graphed the relationship between the variables and
the output and found these conclusions.
Figure 4 Correlation Study: Hours of
Sleep Effect on Change in BF%
Figure 4 illustrates that as you
get more sleep bodyfat percentage goes up.
Coefficient of T-Statistics is -.0046, R2 is 1.9%, R value is 0.137. Therefore the data supports that sleep is bad
for you. This is not true and illustrates how data can be corrupt.
Figure 5 Correlation Study: Exercise Effect on Change in
BF%
Figure 5 illustrates that as you get more exercise bodyfat
percentage goes down. Coefficient of
T-Statistics is -3E-.06, R2 is 0.15%, and R value is 0.039. The data supports that exercise is good for
you. However there factor in this
relationship seems to be a flat line correlation (Y=-3E=06x+.0029) therefore
there is no evidence to suggest any correlation.
Figure 6 Correlation Study: Booze Effect on Change in BF%
Figure 6 illustrates that as you drink more alcohol your
bodyfat percentage goes down. Coefficient
of T-Statistics is -0.0003, R2 is 0.25%, R value is 0.5. Therefore the alcohol is good for you. As much as this study spits in the face of
common logic I personally believe that the driver between this correlation is
how alcohol is accompanied with peer bonding and other moral builders which
could explain the positive benefits.
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