Project analytical techniques as well as decision-making skills on a business problem ( Quantitative Analysis for Business Decisions )
$10-30 USD
Dibayar semasa penghantaran
Project Description, the Data Set, and Specific Problems are available
Make sure you study the information in the "Project Description" data sheet first.
Learning Goal
In this project, you will have a chance to showcase your analytical techniques as well as decision-making skills on a business problem. As the outcome of this project, you will make judgements that are informed by data analyses.
The Case
You are an investment consultant. An important client of yours wants to invest in real estate in a U.S. city that has been experiencing an uptick in growth. The client wants to purchase 10 real estate properties that will have the highest sales prices in the future. She pre-selected 25 potential houses that appear to be good deals. You job is to predict the sales prices of the 25 properties as close to reality as possible. Based on your prediction, you need to make the decision on which 10 properties (i.e., ranked highest in future sale prices) to invest.
To make predictions, the broker of the properties has given you the relevant information of the pre-selected 25 potential houses. The information contained in the “Prediction” data sheet.
In addition, you are given data collected on 125 houses sold in the city over the past 2 years. These data are contained in the “Sales” data sheet. The data collected on the houses include:
1. ID – the property ID, which is the unique IDs of the real estate properties
2. House Size – the size of the house in square feet
3. Lot Size– the size of the lot in acres
4. Rooms – the total number of rooms in the house
5. Bathrooms –the number of bathrooms in the house
6. Utilities – this describes the average monthly utility cost (in $)
7. Year Built – this describes the year when the house was constructed
8. Overall Condition – this is a rating of the overall condition of the house. The numeric scale of this rating is:
1 – Very Poor 2 – Poor 3 – Fair 4 – Average 5 – Good 6 – Excellent 7 – Very Excellent
9. HOA fee – this describes the monthly homeowner associate fee
10. Nearby School Rating – this is the rating of the property’s school zone
11. Price (in $) – this is the sales price of the houses
Tasks
Your client would like you to help her interpret and eventually predict the house price. So here are your tasks.
1. Estimate a multiple regression equation of house price.
2. Based on the results, what do you think would predict house price? For example, does school rating influence the price of the house? Explain your answers (make sure to report the appropriate statistics that inform your conclusions).
3. The client wants to invest in 10 properties that will have the highest house price in the future. She pre-selected 25 potential houses that appear to be good businesses. You job is to predict the prices of the 25 houses. The data on the 25 potential houses are contained in the “Prediction” sheet.
4. Based on your prediction, you need to make the decision on which 10 houses (i.e., ranked highest in price) to invest in.
Note:
a. Report your soultions/answers to 1, 2, and 4 in the "Report" sheet.
b. For Task #3, fill in the predicted house prices in the "Prediction" sheet.
c. Create a new data sheet (or as many as necessary) to show the relevant output/results of your analyses. You can do this by copying and pasting the StatTools outputs. Highlight relevant results and add comments, where needed. Please know that only the relevant ouputs should be included.
ID Projek: #38812664
Tentang projek
30 pekerja bebas membida secara purata $85 untuk pekerjaan ini
Leveraging my extensive educational background and 10+ years of experience, I am confident that I am the ideal candidate to tackle your quantitative analysis project. My Business Administration Master's Degree and ongo Lagi
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1. I am an expert in Statistics, Regression analysis, Linear regression analysis, p value, ANOVAs, etc. I use excel and other statistical software like SPSS, STATA, E-views for data analysis and statistical analysis ba Lagi
Hello there, I am a Data Analyst by practice, and by using appropriate statistical softwares, I can help you discover facts from your pool of data. I run both quantitative and qualitative analyses, professionally; I us Lagi
Hello, As a data scientist with expertise in business analytics and a strong background in multiple regression modeling, I can accurately predict the sales prices of the 25 properties using advanced analytical techniq Lagi
Hello Project Description, the Data Set, and Specific Problems are available Make sure you study the information in the "Project Description" data sheet first. Learning Goal In this project, you will have a chance to Lagi
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To Whom It May Concern, As a seasoned data analyst and researcher, I possess both the technical knowledge and the ability to communicate complex findings clearly and compellingly in written form. This combination is e Lagi
I am pleased to assist with predicting house prices to guide your investment decisions. Using tools like StatTools, Excel, and R, I will: Develop a multiple regression model, analyzing key predictors (e.g., school rat Lagi
I can do data preparation, develop and train an ML/DL model and develop a GUI(with underlaying objective function) for user/consultant to evaluate options. I would do that job for an amount of 1490USD in 7 working Days Lagi
Hi There, I am eager to assist with your project, leveraging my expertise in data analysis and predictive modeling to deliver actionable investment insights. Approach Data Analysis: Review and preprocess the “Sales” Lagi
