Students Performance Factors

The study utilizes a synthetic Kaggle dataset of 6,607 students to demonstrate multivariate techniques, characterized by zero missing values and high symmetry between mean and median values [Table 1]. The dataset includes exam scores, attendance, and study hours as dependent variables, alongside predictors like motivation and family income, making it suitable for MANOVA/MANCOVA analysis [3.3].The dataset is described as a high-quality, balanced, and synthetic academic performance dataset.