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For this kind of analysis, generally speaking all of the data needs to be represented numerically, which means that if data instead exists as categories of items, the data will need to be transformed. Most often various items are analyzed using some linear regression algorithms to compare one or more variables together. Looking at how data is related is a very important step in data analysis. Regression Analysis – What kind of relationships can I find in the Data? I started looking at the data in a previous post where I did an initial review of the data and discussed the data analysis process. The data I chose to analyze was the salary data provided by Brent Ozar, which is publicly available here. What answers can be provided have everything to do with the available data. What kind of answers? Predicting the future, determining what factors make customers leave, what kind of products can they get good customers to buy, what conditions are related, is this a valid transaction and similar questions. As advanced analytical techniques become more popular, companies are looking to hire people to find answers in their data.
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