Technical Report contains the students’ analytics model and the clean data utilized and this section is intended for a technical audience

INSTRUCTIONS TO CANDIDATES

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Technical Report and Analysis

The Technical Report contains the students’ analytics model and the (clean) data utilized. This section is intended for a technical audience and should include graphs, output tables and a brief description of the methods and parameters used. The report must be written in a clear, organized fashion.
To ensure consistency across the teams, please adhere to the following structure:
• Page 1, Data key:
> Data description (e.g. “TotalBsmtSF”: Total square feet of basement area).
• Page 2-4, Descriptive Analytics:
> Visualize the key variables and provide the relevant descriptive statistics.
> Provide correlation statistics/matrices between the variables in your dataset and (where appropriate) utilize scatter plots and other tools for a deeper analysis.
• Page 5-7, Model Development and Testing:
> Guide the reader through your model development process (forward selection or backward elimination) to your final model.
> Describe the development process (e.g. dropping p-values, dealing with outliers, simplifying the model) and quantify the impact of these decisions (e.g. change in R2).
> Predict the missing y-variables using the data provided in the “Data.testing” sheet.
Visualize the results in a simple data table.
. Page 7-8, Additional comments and Assumptions:
> Describe all additional alteration and steps you took during your process (e.g. data cleaning, etc.). An independent third-party should be able to replicate your work.
> List additional concerns you might have regarding the dataset.
> List assumptions you made.
> Concise bullet points only in this section.

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