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. Author manuscript; available in PMC: 2012 Oct 1.
Published in final edited form as: J Pers Soc Psychol. 2011 Sep;101(3):579–592. doi: 10.1037/a0024286

Table 4.

HLM Coefficients and Variance Estimates of Intercept, Linear, and Quadratic Equations Predicting BMI From Age in Decades

Component HLM Estimates
σ2: Residual within-subject variance 1.51 (.03)**
Intercept
 γ00: Mean 28.07 (.74)**
 u0: Variance 20.92 (.10)**
Linear Slope
 γ 10: Mean 1.33 (.25)**
 u 1: Variance 1.45 (.03)**
Quadratic Slope
 γ20: Mean −.015 (.00)**

Note. N = 1,988. Standard errors are shown in parenthesis. HLM = hierarchical linear modeling; BMI = Body Mass Index.

**

p < .01.

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