Multiple stepwise regression analysis was used to determine the effects of the interventions.
Litter decomposition rates correlated with both soil microbial biomass and the density of millipedes in a multiple stepwise regression model.
A multiple stepwise regression model including mound temperature and mound water content described 70 99% of the seasonal variations in CH4 fluxes for different species.
The correlation analysis and multiple stepwise regression analysis were also used to analyze the effect of land use and landscape pattern on PM2.5 in Yangtze River Delta.
By defining accessibility as the measurement of the integration of the space syntax, preferences are researched using multiple stepwise regression of visual variables.
Compared to the multiple stepwise regression model estimating the parameter n taken the influencing factors as independent inputs, the MARS model enhances the capability of the Budyko framework for assessing water availability at regional scale using readily available data.
The relationship between 'landscape typology' and 'socioeconomic structure' was expressed by multiple stepwise regression, where the independent variables were socioeconomic descriptors of the municipalities, and the dependent variable the coordinates of these on the ordination axes.
Multiple stepwise regression produced the best-fit model for predicting plant density or cover for mountain big sagebrush (Artemesia tridentata ssp. vaseyana Beetle), bluebunch wheatgrass (Pseudoroegneria spicata (Pursh)), and all shrub species combined.
In this study, the EITW values, as well as the anthropometric data, were obtained from 30 men and 30 women to develop the EITW prediction models separately for the men and the women by multiple stepwise regression analysis.
Further investigation was carried out to obtain the prediction equation of heat flux, and the fitted expression was derived by multiple stepwise regression analysis based on the orthogonal experimental design of five levels for nine parameters.
Multiple stepwise regression indicated that better contraceptive attitudes, higher contraceptive self-efficacy, no prior sexual experience, more perception of peers' contraceptive behavior, and higher perception of support from significant others were predictors of higher contraceptive intention.
