The relationship between MoV and precipitation is complex. Depending on the season, 38% to 41% of land surface showed better predictability with the non-linear Random Forest (RF) models, 26% to 27% with the Lin
Main regression sample (entropy-balanced) 1,290 7,696 Panel B: Pre-treatment covariate balance -- Entropy balancing Empty Cell Before Entropy Balancing After Entropy Balancing Empty Cell Treatment Control Diff. Treatment Control Diff. Size 22.523 21.828 0.697*** 22.523 22.520 0.002 ROA 0.072 0.086...
The results of the logistic regression model considering situational change type and group and interactions of these predictors are displayed in Fig.1b. Significant interactions of situational change type and group were only present for character-character, temporal, large-space and scene changes. In ...
The logistic regression analysis was run to test the proposed hypotheses. Findings - The findings indicated that the code-law orientation and strength of the institutional quality are significantly associated (i.e. positively and negatively, respectively) with the integrated reporting of Fortune 500 ...
Yet, our coefficients of interest, the environmental measures, the early adoption of smart technologies, and the economic preferences, stay robust and change little in magnitude and significance whether or not education is included in the regression models. Further, Table E.1 indicates that our ...
Linear regression models and SPLS models were performed to examine the relationship between the m/z features and the variables of interest (that is, segmental transit time and pH). The modelling was performed using the SmartPill-derived data and the 24 h postprandial urine metabolome collected ...
In the case of back calculation, multiple samples are taken from the same individual, which violates the condition of data independence, so when calculating the growth equation, a robust statistical analysis should be performed using a mixed model with the individual as a random term. In this ...
In fact, well-being stud- ies are often intertwined with general mental health studies due to the lack of robust and clear defini- tions. For instance, the terms mental health and mental or psychological well-being are often used interchangeably in early studies (Fusar-Poli et al. 2020). ...
Regression analysis is a statistical modeling technique that is used to measure a relationship between one dependent variable and one or more independent variables. It predicts the behavior of the dependent variable based on the changes in the independent variable...
3 In addition, the regression framework allows hypotheses about the relative importance of different effects to be formulated and tested in a more natural way than the sorting approach which basically compares average returns of sorted portfolios. Our empirical results indicate that over the period ...