Skip to main content

Table 5 Hierarchical multiple regression

From: Should knee extension strength testing be implemented as a screening test for identifying probable and confirmed sarcopenia in older T2DM patients?

Block

Predicting Variable

t

β

F change

R2 change

F

R2

1

Weight

14.127

.701***

 

310.351***

0.878

Sex

−4.272

−.231***

 

2

Knee extension strenght

2.012

.124*

4.048*

0.005

215.756***

0.882

  1. Parameters in regression model *p < 0.05, **p < 0.01, ***P < 0.001
  2. Note: t- The t statistic is the coefficient divided by its standard error. β is the normalized coefficient, the highest its absolute value, the variable have more influence on the depended variable. The F value in regression is the result of a test where the null hypothesis is that all of the regression coefficients are equal to zero. R2 - coefficient of determination is a statistical measure of how well the regression predictions approximate the real data points