DAT 220 Milestone 3.docx - DAT 220 Module 6 Milestone 3 My analysis for the clustering graph honestly reflects as organized of an approach as possible

DAT 220 Milestone 3.docx - DAT 220 Module 6 Milestone 3 My...

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DAT 220 Module 6 Milestone 3 My analysis for the clustering graph honestly reflects as organized of an approach as possible with limitations to what I can accurately pick out and process. With so many variables and possibly limited user knowledge it can be difficult to identify what the cluster is actually depicting. With the linear regression model and the logistical regression model, it was much easier to understand the distribution of the data sets and to see patterns and trends. Before a successful run I had to select variables that were the most relevant to what I was looking to analyze. Otherwise, the graphs generated had too much info that skewed the data and created cluttered effect on the clusters and the regression models. To keep things consistent, I chose to stay with Webstore Spending and Visits versus age and income. The patterns that were discovered indicated that there was not a whole lot of variance between income and age when looking at the linear regression model for webstore
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