The explained variance is assessed by a stepwise regression analysis.
We also used a stepwise regression analysis (with forward selection) to examine the respective influence of NREM and REM sleep substages on the learning effects observed upon awakening.
Multiple stepwise regression analysis was used to determine the effects of the interventions.
The main methodologies are canonical correlation analysis and stepwise regression analysis employing 245 questionnaires collected.
From the stepwise regression analysis, a series of DE and ME prediction equations were generated.
Stepwise regression analysis within diets resulted in greater coefficient of determination and lower standard error values.
The relationship between corn yield and measured soil properties was determined using stepwise regression analysis.
Stepwise regression analysis indicated that three variables including respondent's income, age and illness were used in the equation in order and explained the variance of dependent variable.
The model parameters were determined by stepwise regression analysis and the model was used for batch reactor simulation.
A stepwise regression analysis comparing the influence of NREM stages (NREM1, 2 and 3) showed that only the number of trials played in deep sleep (NREM3) was predictive performance upon awakening (β(16) = −0.50, P = 0.027).
A novel theoretical model has been developed through stepwise regression analysis of 136 single shear FRP-to-timber joints.
