Three multiple regression models were used to estimate 95% confidence intervals (CI) for each model. The number of teeth was used as the independent variable ... used depressive symptoms scores as the ...

How one school leader navigated the COVID-19 crisis to redefine public education through empathy-driven leadership, mental ...

The dependent variable is the outcome that is being acted upon by the independent variables—the inputs into the model. Multicollinearity exists when there is a linear relationship, or ...

Humans learn by breaking through and plateauing, persisting and resting, and, occasionally, experiencing the blissful flow state. Mastering a skill can take decades, but the learning process unfolds ...

Higher Education, Sustainable Career Development, Sustainable Career Resistance to Change, Psychological Well-Being Share and Cite: Argyropoulou, K. , Karavia, A.S. and Chaidemenaki, O. (2025) ...

In RIT’s physics degree, you’ll gain an in-depth understanding of the basic principles governing the structure and behavior of matter, the generation and transfer of energy, and the interactions of ...

Dependent Variable,E-learning,Education System,Educational Applications,Educational Performance,Human Intelligence,Implementation Of Artificial Intelligence,Independent Variables In Model,Integration ...

Artificial Intelligence Applications,Artificial Intelligence Technology,Artificial Intelligence Tools,Conceptual Development,Dependent And Independent Variables,Dependent Variable,Development ...

and improving model robustness. In this study, we propose a Dynamic Conditional Feature Screening (DCFS) method tailored for high-dimensional economic forecasting tasks. Our goal is to accurately ...