calculation than simple linear regression. It incorporates multiple independent variables. For example, multiple regression could capture how the daily change in a company's stock price is ...

Multicollinearity exists when there is a correlation between multiple ... variables in regression analysis. This correlation is known as multicollinearity, which can cause problems for regression ...

THE ‘Human Project’ is a conceptual blueprint for fostering socially and fiscally responsible economic justice, especially in ...

This study provides a valuable extension of credibility-based learning research by showing how feedback reliability can distort reward-learning biases in a disinformation-like bandit task. Although ...

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) ...

Design Difference-in-differences design with multiple intervention start dates ... to overlap with the individual-level analysis. We used a linear regression model, adjusting for fixed effects for ...

The following is a group Kaggle project using multiple linear regression models to predict housing prices in Ames, Iowa. The final Kaggle Score of all price predictions was 0.20623. In this study we ...

But it declined to acknowledge significant problems with its multiple-choice questions — even as it revealed that a subset of questions were recycled from a first-year law student exam ...