Submission for ASU DAT 301 class

A statistical analysis of the relationship between weekly running mileage and running pace using 20 simulated training weeks. Includes linear regression, residual analysis, ggplot2 visualizations, and an interactive Plotly graph. **Note: This analysis uses simulated data, not actual running observations.**

week 7

This presentation explores the relationship between vehicle weight and fuel efficiency using the mtcars dataset in R. Through ggplot2 visualizations, simple linear regression, and statistical interpretation, it examines how vehicle weight influences miles per gallon (MPG) and highlights key findings from the analysis.

Asim Maharjan project 1