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Chapter 11 Regression Analysis in Body Composition Research.

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Presentation on theme: "Chapter 11 Regression Analysis in Body Composition Research."— Presentation transcript:

1 Chapter 11 Regression Analysis in Body Composition Research

2 Correlation b Measures the strength of association or relationship between two variables

3 Correlation Coefficients b +1 Perfect positive correlation b 0 No relationship b -1Perfect negative correlation

4 Graphs of Correlations

5 Regression b Attempts to predict one variable from another

6 Bivariate Regression b A statistical method used to predict one variable from another variable

7 Multiple Regression b A statistical method used to predict one variable from two or more variables

8 Independent and Dependent Variables b Dependent variable (DV) Variable that is being measured for changeVariable that is being measured for change b Independent variable (IV) Variable(s) used to change DVVariable(s) used to change DV

9 Line of Best Fit b A regression line depicting a linear relationship between the DV variable and all of the predictor variables in the regression equation

10 Validity b All body composition methods and prediction equations need to be validated and cross-validated to determine their applicability and suitability for use in the field.

11 Standard Error of the Estimate b A type of prediction error that reflects the degree of deviation of individual data points around the line of best fit (regression line).

12 Total (Pure) Error b A type of prediction error that reflects the degree of deviation of individual data points around the line of identity (perfect positive relationship - slope =1)

13 Population-Specific Equations b Should only be used to estimate the body composition of individuals from a specific group b Major problem in body comp analysis is applying the incorrect equation to a population

14 General-Prediction Equations b May be used to estimate the body composition of individuals varying in age, gender, ethnicity, fatness, or physical activity level.

15 Selection b To judge the worth of newly developed body composition methods and prediction equations, one should use standard evaluation criteria.

16 Bland and Altman Method b Used to compare methods and to evaluate how well an equation works for estimating body composition of individuals within a group.


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