Project Information

• Category: Data Analysis
• Group Project for Wayamba University
• Project date: October, 2023

Analysis of Factors Affecting the Relative Humidity in an Italian City

This project investigates the environmental factors influencing daily average relative humidity in an Italian city using multiple linear regression analysis. Data was collected from a gas multisensory device measuring various atmospheric conditions.

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Objectives:

• Examine the relationship between humidity and air pollutants
• Determine the statistically significant predictors of humidity
• Validate model assumptions and identify limitations

Tools: R, Excell

Outcome: Found temperature to be the only significant factor; identified residual autocorrelation, suggesting the need for further model refinement