SIT743 - Bayesian Learning and Graphical Models - Statistics Assignment Help

Assignment Task

Use the sampled data (“my.data”) to answer the following questions.

1.1) Draw a histogram and a box plot for the ‘Humidity’ variable. Provide a five number summary for the humidity values. Use these to comment about the distribution of the humidity variable.

1.2) Which summary statistics would you choose to summarize the center and the spread for the ‘Humidity’ data? Why? 

1.3) Draw a scatterplot of ‘Air Temperature’ (as x) and ‘Water temperature @1.6m depth’ (as y). Name the axes. Fit a linear regression model to the above two variables, and plot the (regression)
line on the same scatter plot. Write down the linear regression equation. Compute the correlation coefficient and the coefficient of Determination. Explain what these results reveal.

1.4) Create three new variables, namely ‘WaterTBucket’, WindSBucket’, and ‘AirPreBucket’ which can take two values (‘High’ and ‘Low’) each, based on the criteria defined as follows for the three observed variables in the data: ‘Water temperature @1.6m depth’, ‘Wind speed’ and ‘Air pressure’ respectively:

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