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Table 3 Linear regression output for modeling 24-h energy intake using a “suitable” set of predictors

From: Decision trees in epidemiological research

  Estimate SE t value Pr(\({>}|\hbox {t}|\))
(Intercept) 1279.36 211.78 6.04 <0.001***
Sex: male 378.03 66.30 5.70 <0.001***
Body mass index 16.68 6.96 2.40 0.017*
Snack-energy kcal/day 1.29 0.12 10.76 <0.001***
Fruit/vegetable svg/day 38.84 14.94 2.60 0.010**
Sugar-sweetened beverage svg/day 114.20 30.3234 3.77 <0.001***
Contour drawing rating scale-body dissatisfaction [1–9] −48.44 26.2195 −1.85 0.066
Frequency of self-weigh
 Never (Ref)
 About once a year or less −405.34 145.47 −2.79 0.006**
 Every couple of months −247.32 137.55 −1.80 0.074
 Every month −374.43 147.96 −2.53 0.012*
 Every week −414.77 138.67 −2.99 0.003**
 Every day −450.17 166.89 −2.70 0.008**
Fast food frequency
 Never (Ref)
 1–3 times last month 14.13 77.01 0.18 0.855
 1–2 times per week 35.63 95.42 0.37 0.709
 3–4 times per week −187.55 204.63 −0.92 0.360
 5–6 times per week −235.81 237.61 −0.99 0.322
 7 or more times per week 738.04 238.35 3.10 0.002**
Hunger 32.52 10.15 3.20 0.002**
Wanting 2.88 0.85 3.40 <0.001***
  1. This “suitable” set of predictors is chosen using a backward elimination process, such that the AIC for the relevant model is minimized