We moved on from the Opioid data this week. We are looking at data from Wine. This week is very interesting to me because I love wine! We used this new data to carry out a few basic tasks. Then we added some new tools to our toolbox – we performed some T-Tests and some Regression Modeling.
I am definitely feeling more and more confident. The basic tasks are quite easy now, but sometimes the new tasks can be challenging until I have a good understanding. MACROS and some of the more complex work will need some more practice, but I think that is to be expected.
The simple tasks for this assignment compared white and red wines across several variables – including fixed acidity, citric acid, residual sugar, chloride, sulfur dioxide, density, pH, alcohol, and quality. There were about twelve in total. The descriptive statistics helped us compare white and red wines across these variables. We also compared and examined the correlations between these variables.
After these tasks, we moved on to the new tasks! The T-Tests seem to be pretty easy – we looked at alcohol content and quality for these. Then the regression models were definitely more complex. We did two different models – one predicted quality with citric acid, residual sugar, and alcohol; the other used more variables beyond these. We then compared these models to see which was better.
Picture: Example from this week’s PowerPoint
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