The team is glad to have you! With that excitement, they want you to get to work immediately. Your director has dropped you off a data set that nobody has had time to do anything with. There is information about purchase sizes and they want you to build a model to see if we can predict how much someone is going to order when they are on the companys site.

Writing requirements: title page, abstract, introduction, methods, results, discussion.Please include your SAS output as an appendix.

In addition to ensuring your document has all sections outlined above, ensure your document includes all of the following information within the appropriate sections: (1) a description of the process of how you acquired the data, (2) initial findings, (3) the modeling process, and (4) your interpretation of the results. (5) Address the business objective.

\begin{tabular}{|l|r|r|r|r|r|} \hline \multicolumn{7}{|c|}{ Analysis of Variance } \\ \hline Source & DF & SumofSquares & MeanSquare & F Value & Pr > F \\ \hline Model & 19 & 114.47567 & 6.02504 & 43.57 & <.0001 error corrected total root mse r-square dependent mean adj r-sq coeff var>