You'll have to ask them, as it's calculated using their own proprietary algorithm, well that or spend a few min's solving the simultaneous equation (from the values in your history) to work out the weights they've applied to your: Fat, Muscle, and Weight values to create the score:
The fitness score is to help the subject to understand his/her body condition from a body composition point of view. The ideal is 100%. It is a piece of unique data provided by InBody720
and:
*Fitness Score
The Fitness Score is an index used to help the examinee easily understand the state of his/her body composition.
70 or less weak or obese type that need exercise and diet control
70~90 Normal, Healthy Type
90 or more Robust type with well-developed muscle
FYI: Using R to play with the DUMMY values above
weight <- c(65.7, 63.5, 61.2, 59.1)
smm <- c(20.6, 19.4, 19.4, 19.6)
fat <- c(27.0, 25.8, 23.5, 21.8)
score <- c(62, 63, 66, 68)
test.data = data.frame(score, weight, smm, fat)
lm(score ~ ., data = test.data)
OUTPUT:
Call:
lm(formula = score ~ ., data = test.data)
Coefficients:
(Intercept) weight smm fat
75.67391 0.54987 0.01279 -1.85422
So for the DUMMY history above:
score = (0.54987 * weight) + (0.01279 * SMM) - (1.85422 * fat) + 75.67391
which if the same ratios hold in a real analysis, would suggest to exceed 100, you would need to have a dangerously low bodyFat %.