An R-based statistical inference project investigating the drivers of student academic performance. It moves beyond simple prediction to isolate statistically significant factors using multivariate regression, ANOVA, and t-tests.

The study identifies accident hotspots during days above and below 0°C and under snow conditions to analyze weather’s impact on road safety. It uses geospatial visualizations and map projections to clearly show accident locations in relation to climate factors.

📊 Analyze student performance using R to uncover the factors that significantly impact grades with statistical inference and regression analysis.