equation. While the mean discrepancy between the adjusted and measured BMI is close to zero, since it is a residual score, these discrepancies continue to show a systematic, though smaller, bias in relation to the measured BMI. The simple linear regression model using the measured BMI values as predictors of the adjusted discrepancy scores yields the following results: BMI-(Adjusted) Discrepancy = 2.204 - 0.078 BMI, with standard errors of 0.109 for the intercept and 0.004 for the coefficient. Based on this equation, the actual BMI value at which the adjusted self-reported BMI scores are unbiased is 28.3 (2.204/0.078). Adjusted self-reported BMI values in the range below 28.3 are overstated and are understated in the range above 28.3. However, the biases are not large; at an actual BMI of 18.5, the average overestimate is 0.78 BMI units, while the average underestimate at a BMI of 40 is 0.91 units.
