This document presents a Simple Linear Regression analysis exploring the relationship between AI Assistance Level and Student Satisfaction Rating across 10,000 student sessions. The analysis focuses on Psychology students engaged in Writing tasks, revealing a statistically significant positive relationship (R² = 0.58, p < 0.001). The study also includes cross-discipline comparisons between Psychology and Computer Science groups, along with full model diagnostics. Built with R using tidyverse, ggplot2, and broom.

An exploratory analysis of 10,000 student-AI interaction sessions. Visualizations: - Task Type Distribution - Outcomes by AI Assistance Level - AI Usage Patterns Across Disciplines - Satisfaction Rating Distribution Built with: R, tidyverse, ggplot2 Key findings: Writing is the most common AI use case (2,040 sessions). Medium AI assistance shows the best outcomes. Average satisfaction: 3.42/5.