This project examines the relationship between human height and weight using the SOCR Heights and Weights dataset of 18‑year‑old individuals. We first compute descriptive statistics and visualize the data to understand its distribution. Next, we use Pearson’s correlation and simple linear regression to quantify how strongly height predicts weight and whether this relationship is statistically significant. The analysis is implemented in R and documented in an R Markdown report to ensure transparency and reproducibility.

FOR PUBLISH

This table combines the iNaturalist and NBN data together of rockpool depth sponge observations in the UK to go through all 192 species from most to least common.

Clothing retailers sentiment analysis

This comprehensive documentation explains the Student Housing Cost Predictor project, detailing the pricing model components, cost calculations with real examples, technology used, and practical usage instructions. It serves as a complete guide to understanding how the app works and its potential applications for student housing decisions.