Body Composition

Body density - total body mass expressed relative to total body volume; varies from person to person because the percentage of components vary; reference man was 1.064 Fat-free body (FFB) - all residual lipid-free chemicals and tissues including water, muscle, bone, connective tissue, and internal organs Lean body mass - fat-free mass plus essential lipids Correlation - measures the strength of association or degree of the relationship between two variables; how well two things relate to each other; strong = 0.8 or greater; r = 0-1; + or - is direction only; generally linear data Coefficient of determination - the square of the correlation coefficient and represents the amount of variance shared by variables X and Y; N% of the variability is explained by Y and 100-N% is unexplained; r^2 Regression - used to predict one variable from one or more other variables; aka prediction Bivariate regression - predicting one thing from something else; must know the relationship between the two variables; on a graph, find a line of best fit Regression line - the line that minimizes the squared deviations from the line Multiple regression - predicting one thing from many variables Polynomial regression - one of the variables has a square; puts a curve in the line of best fit Basics of regression analysis - Y=a+bX where Y = dependent (criterion) variable; X = independent (predictor) variable variable; a = y-intercept, b = slope