Linear Regression. Lab 1

Linear Regression. Lab 1 Predicting pollution Air pollution is currently one of the most serious public health worries worldwide. Many epidemiological studies have proved the influence that some chemical compounds, such as sulphur dioxide (SO2), nitrogen dioxide (NO2), ozone (O3) can have on our health. Associations set up to monitor air quality are active all over the world to measure the concentration of these pollutants. They also keep a record of meteorological conditions such as temperature, cloud cover, wind, etc. The aim of the study is to analyse the relationship between the maximum daily ozone level and meteorological variables. We have at our disposal 112 observations collected during the summer of 2001 in Rennes by AirBreizh. The available variables are maxO3 (maximum daily ozone), maxO3v (maximum daily ozone the previous day), T12 (temperature at midday), T9, T15 (Temp at 3pm), Vx12 (projection of the wind speed vector on the east-west axis at midday), Vx9 and Vx15, as well as the Nebulosity (cloud) Ne9, Ne12, Ne15. • Import and summary the ozone data (available in ozone.txt) ozone