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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