Data Analysis with R

Here’s a concise summary of your assignment:

You’ve been tasked to assist Melbourne Water Corporation by analyzing weather data to develop a linear regression model predicting daily evaporation rates at Cardinia Reservoir. The goal is to ensure the water supply's stability despite changing climate conditions. Your project involves:

1. **Data Analysis**: Exploring relationships between evaporation and factors like month, day of the week, temperatures, and humidity, using bivariate summaries and appropriate plots.
2. **Model Development**: Creating and refining a multiple linear regression model using significant predictors. This includes testing assumptions, selecting meaningful predictors, and incorporating interaction terms.
3. **Forecasting**: Making predictions for specific weather scenarios, providing confidence intervals, and comparing outcomes.
4. **Report Writing**: Producing a professional report comprising an executive summary, methods, results with visualizations, a discussion, conclusion, and an appendix with R code.

Your report should effectively communicate findings in plain English, backed by statistical analysis and visual representations.