SAS code and analysis
Budget: €750 – €1,500 EUR
Objectives:
Create a business report to present your multi linear regression findings to predict a home’s sale price. The target audience for this report is a housing analyst whose job is to create and present housing comparables (comps) to all the realtors at the firm. They need a statistical model we can use going forward. You can assume this analyst knows the basic definitions of statistical terms such as standard deviation and variance, but you will need to interpret your model in the context of the data.
Project Submission Requirements:
• You will begin with an examination of the variables and end with an evaluation of how good your model is at predicting. Your report should be written using complete sentences and using proper spelling and grammar.
• The total business report should be single spaced, but I do not require a specific length for the report. Typically, you want the business report to be as succinct and direct as possible but also provide the needed background and explanation for the different pieces.
• Feel free to add charts or tables that help illustrate your points (include titles and labels on axes where appropriate). Be sure to add explanation of what you are seeing in these charts. Don’t add complicated charts that could be confusing for your audience (Example: don’t add the entire scatter plot matrix chart as it would be very hard to read).
• In addition to the business report, you must also submit the SAS code and export of the results
Create a business report to present your multi linear regression findings to predict a home’s sale price. The target audience for this report is a housing analyst whose job is to create and present housing comparables (comps) to all the realtors at the firm. They need a statistical model we can use going forward. You can assume this analyst knows the basic definitions of statistical terms such as standard deviation and variance, but you will need to interpret your model in the context of the data.
Project Submission Requirements:
• You will begin with an examination of the variables and end with an evaluation of how good your model is at predicting. Your report should be written using complete sentences and using proper spelling and grammar.
• The total business report should be single spaced, but I do not require a specific length for the report. Typically, you want the business report to be as succinct and direct as possible but also provide the needed background and explanation for the different pieces.
• Feel free to add charts or tables that help illustrate your points (include titles and labels on axes where appropriate). Be sure to add explanation of what you are seeing in these charts. Don’t add complicated charts that could be confusing for your audience (Example: don’t add the entire scatter plot matrix chart as it would be very hard to read).
• In addition to the business report, you must also submit the SAS code and export of the results