Math 102 – Exploratory Data Analysis

Modern research looks at the interaction between a multitude of variables to provide conclusions based on experimental data. You will have the opportunity to explore a few realistic regression models and provide conclusions on them based on your own observations. You will also observe a few measures of central tendency of the data. You will gain an understanding of the distribution of data through identifying the standard deviation and quartiles of your data set. You will then use these measures of central tendency to identify outliers in your data and determine whether they should be omitted in your regression. You’ll also make inferences based on your regression data and determine which variables are significant in your model. This will help you identify the independent variables that adequately explain the variance in your model. The techniques you apply in this project will hopefully form the foundation of future research and exploration.

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