Moderation test. by Liangjun Peng (15927409)

Subjects:

Structural regression weight (n = 408). by Nan Jiang (21252)

Regression results of full sample. by Raymond Darfo-Oduro (17781437)

Regression results of the manufacturing sector. by Raymond Darfo-Oduro (17781437)

OLS regression results and PSM-DID regression results for model (1). by Shujuan Wu (8677641)

Simple slopes of the moderation model. by Maor Kalfon Hakhmigari (20614670)

Subjects:

Summary of hierarchical regression models. by Catrin Eames (591875)

Multinomial logistic regression analyses for moderately active or highly active participants relative to inactive. by Özgül Öztürk (15374647)

Mean values and 95% confidence intervals for recovery time, Average NN Interval (AVNN); Standard Deviation of NN Intervals (SDNN), Low Frequency/ High Frequency Ratio (LF/HF); and... by Robert Trybulski (10998702)

The results of the regression analysis on the joint moderating effects of DC and IE on internationalization breadth (depth). by Chunhao Li (5949533)

Interaction term analysis showing moderation effect. by Erny Yusnida Che Yusoff (22170263)

Subjects:

Heterogeneity regression results. by Zibo Wei (10186533)

“…Based on the Global Database of Events, Language, and Tone (GDELT) from 2010 to 2024, this study empirically examines the impact of the South China Sea issue on Southeast Asian countries’ perception of China’s image using a panel multiple linear regression model. The empirical results show a significant positive correlation between the South China Sea issue and Southeast Asian countries’ perception of China’s image. …”

Robustness regression results. by Zibo Wei (10186533)

“…Based on the Global Database of Events, Language, and Tone (GDELT) from 2010 to 2024, this study empirically examines the impact of the South China Sea issue on Southeast Asian countries’ perception of China’s image using a panel multiple linear regression model. The empirical results show a significant positive correlation between the South China Sea issue and Southeast Asian countries’ perception of China’s image. …”

Benchmark regression results. by Zibo Wei (10186533)

“…Based on the Global Database of Events, Language, and Tone (GDELT) from 2010 to 2024, this study empirically examines the impact of the South China Sea issue on Southeast Asian countries’ perception of China’s image using a panel multiple linear regression model. The empirical results show a significant positive correlation between the South China Sea issue and Southeast Asian countries’ perception of China’s image. …”

Moderating effect of fiscal transparency. by Changqian Xie (13833618)

Baseline regression results. by Chunlian Zhang (826828)

Regression with awareness of consequences and severity. by Monique M. Turner (21299651)

Multiple logistic regression analysis of factors associated with moderate-to-severe anemia. by Thinzar Win Pyae (16436616)

Hierarchical regression analysis of the mediating effect. by Hong-yan Wang (4227319)

Multiple regression analysis. by Fang Liu (13271)