I have run a regression model, "regress exercise diet_new". The model's output is below.
regress exercise diet_new
Source SS df MS Number of obs = 300
Model 218.355109 1 218.355109 F(1, 298) = 0.37
Residual 178144.391 298 597.799968 Prob > F = 0.5461
Total 178362.746 299 596.530922 R-squared = 0.0012
Adj R-squared = -0.0021
Root MSE = 24.45
exercise Coefficient Std. err. t P>|t| [95% conf. interval]
diet_new -1.796762 2.972945 -0.60 0.546 -7.647388 4.053864
_cons 42.27087 2.409125 17.55 0.000 37.52982 47.01193
In the variable "diet_new", people who are on a plant-based diet are coded as "0", and the non-plant-based diet group is coded as "1".
Based on this output, we can tell the
group has longer daily exercise time, on average.
(Round to one decimal place.)