I am looking for relationships between different variables in a set of MET office data. The data set is for the months May to October in 2015 and 1987 in various places in the UK. The variables measured are listed at the bottom of this post.
To add some context, the data set is part of the A-level maths specification (spreadsheet linked here).
I am interested in how this data set would be analysed in a meteorological setting and replicate it in a maths lesson
An example would be to calculate the PMCC and perform a hypothesis test to see if it is statistically significant.
I lack the knowledge to know which variables would be connected and their relationships. It would be ideal to discover linear relationships of the form:
$$y= a +bx$$ $$\log(y)=a+ b\log(x)$$ $$\log(y)=a+ bx$$
Variables measured in the large dataset:
Daily Mean Temperature
Daily Total Rainfall
Daily Total Sunshine
Daily Maximum Relative Humidity
Daily Mean Windspeed
Daily Maximum Gust
Daily Mean Wind Direction
Daily Maximum Gust Direction