Statistical Techniques : Regression Analysis

Competencies
In this project, you will demonstrate your mastery of the following competencies:

Apply statistical techniques to address research problems
Perform regression analysis to address an authentic problem
Overview
The purpose of this project is to have you complete all of the steps of a real-world linear regression research project starting with developing a research question, then completing a comprehensive statistical analysis, and ending with summarizing your research conclusions.

Don't use plagiarized sources. Get Your Custom Essay on
Statistical Techniques : Regression Analysis
From as low as $9/Page
Order Essay

Scenario
You have been hired by the D. M. Pan National Real Estate Company to develop a model to predict median housing prices for homes sold in 2019. The CEO of D. M. Pan wants to use this information to help their real estate agents better determine the use of square footage as a benchmark for listing prices on homes. Your task is to provide a report predicting the median housing prices based square footage. To complete this task, use the provided real estate data set for all U.S. home sales as well as national descriptive statistics and graphs provided.

Directions
Using the Project One Template , generate a report including your tables and graphs to determine if the square footage of a house is a good indicator for what the listing price should be. Reference the National Statistics and Graphs document for national comparisons and the Real Estate County Data spreadsheet (both found in the Supporting Materials section) for your statistical analysis.

Note: Present your data in a clearly labeled table and using clearly labeled graphs.

Order Now Image

Specifically, include the following in your report:

Introduction

Describe the report:
Give a brief description of the purpose of your report.
Define the question your report is trying to answer.
Explain when using linear regression is most appropriate.
When using linear regression, what would you expect the scatterplot to look like?
Explain the difference between response and predictor variables in a linear regression to justify the selection of variables.

Data Collection

Sampling the data: Select a random sample of 50 counties.
Identify your response and predictor variables.
Scatterplot: Create a scatterplot of your response and predictor variables to ensure they are appropriate for developing a linear model.

Data Analysis

Histogram: For your two variables, create histograms.
Summary statistics: For your two variables, create a table to show the mean, median, and standard deviation.
Interpret the graphs and statistics:
Based on your graphs and sample statistics, interpret the center, spread, shape, and any unusual characteristic (outliers, gaps, etc.) for the two variables.
Compare and contrast the shape, center, spread, and any unusual characteristic for your sample of house sales with the national population. Is your sample representative of national housing market sales?

Order Now Image

Develop Your Regression Model

Scatterplot: Provide a graph of the scatterplot of the data with a line of best fit.
Explain if a regression model is appropriate to develop based on your scatterplot.
Discuss associations: Based on the scatterplot, discuss the association (direction, strength, form) in the context of your model.
Identify any possible outliers or influential points and discuss their effect on the correlation.
Discuss keeping or removing outlier data points and what impact your decision would have on your model.
Find r: Find the correlation coefficient (r).
Explain how the r value you calculated supports what you noticed in your scatterplot.
Determine the Line of Best Fit. Clearly define your variables. Find and interpret the regression equation. Assess the strength of the model.

Regression equation: Write the regression equation (i.e., line of best fit) and clearly define your variables.
Interpret regression equation: Interpret the slope and intercept in context.
Strength of the equation: Provide and interpret R-squared.
Determine the strength of the linear regression equation you developed.
Use regression equation to make predictions: Use your regression equation to predict how much you should list your home for based on the square footage of your home.

Order Now Image

Conclusions

Summarize findings: In one paragraph, summarize your findings in clear and concise plain language for the CEO to understand. Summarize your results.
Did you see the results you expected, or was anything different from your expectations or experiences?
What changes could support different results, or help to solve a different problem?
Provide at least one question that would be interesting for follow-up research.
What to Submit
To complete this project, you must submit the following:
Use the template included in files to structure your report, and send the finished version as a Word document.

Supporting Materials in Files.
The following resources may help support your work on the project:

Document: National Statistics and Graphs
Use this data for input in your project report.

Order Now Image

Spreadsheet: Real Estate County Data
Use this data for input in your project report. For more information on Statistical Techniques : Regression Analysis check out : https://www.encyclopedia.com/social-sciences/encyclopedias-almanacs-transcripts-and-maps/statistical-methods

The Homework Writings
Order NOW For A 10% Discount!
Pages (550 words)
Approximate price: -

Our Advantages

Plagiarism Free Papers

Thehomeworkwritings.com’s team of writers write all papers from scratch. We deliver 100% original, unique papers. That’s what makes us the best custom homework writing service

Free Revisions

We provide unlimited free revisions to all customers and on all papers. Try The Homework Writings today for the best custom homework writing service and experience in the industry.

Title-page

Thehomeworkwritings.com gives clients title pages free of charge. Your only job is to fill out our order form. We will handle the rest.

Bibliography

As the leading essay writing service, we never submit any paper without a reference/bibliography page. We do this free of charge too.

Originality & Security

At Thehomeworkwritings.com, we take great pride in delivering only high-quality 100% original papers to all our clients. We also never share any of our clients’ information with third parties. Your data is safe with us.

24/7 Customer Support

No other custom homework writing service has a friendly, always available customer support team to respond to clients like us.

Try it now!

Calculate the price of your order

We'll send you the first draft for approval by at
Total price:
$0.00

How it works?

Follow these simple steps to get your paper done

Place your order

Fill in the order form and provide all details of your assignment.

Proceed with the payment

Choose the payment system that suits you most.

Receive the final file

Once your paper is ready, we will email it to you.

Our Services

We have the best customer support team for your essay writing needs.

Pricing

Flexible Pricing

You won’t find any other custom homework writing service with pricing as flexible and affordable as ours.

Communication

Admission help & Client-Writer Contact

We provide a direct line of communication with our writers for the best writing experience.

Deadlines

Paper Submission

As the leading custom homework writing service, we take deadlines very seriously. You will have your paper submitted on time without any delays.

Reviews

Customer Feedback

We truly value your feedback, good or bad, and always use your feedback to help us provide you with an even better custom homework writing service