This RMarkdown file contains the report of the data analysis done for the project on forecasting daily bike rental demand using time series models in R. It contains analysis such as data exploration, summary statistics and building the time series models.

Diseño de Experimentos 2026 con R y Python - P6

This project applies multiple linear regression to predict the number of wins for professional baseball teams using a dataset of approximately 2,276 records spanning the years 1871 to 2006. Each observation represents a team's seasonal performance, adjusted to a 162-game schedule. The analysis follows a four-stage workflow: data exploration, data preparation, model building, and model selection.