Category: Mathematics

  • MAT 240 Module Two Assignment Guidelines and Rubric Scenario Smart businesses in

    MAT 240 Module Two Assignment Guidelines and Rubric
    Scenario
    Smart businesses in

    MAT 240 Module Two Assignment Guidelines and Rubric
    Scenario
    Smart businesses in all industries use data to provide an intuitive analysis of how they can get a competitive advantage. The real estate industry heavily uses linear regression to estimate home prices, as cost of housing is currently the largest expense for most families. Additionally, in order to help new homeowners and home sellers with important decisions, real estate professionals need to go beyond showing property inventory. They need to be well versed in the relationship between price, square footage, build year, location, and so many other factors that can help predict the business environment and provide the best advice to their clients.
    Prompt
    You have been recently hired as a junior analyst by D.M. Pan Real Estate Company. The sales team has tasked you with preparing a report that examines the relationship between the selling price of properties and their size in square feet. You have been provided with a Real Estate Data Spreadsheet spreadsheet that includes properties sold nationwide in recent years. The team has asked you to select a region, complete an initial analysis, and provide the report to the team.
    Note: In the report you prepare for the sales team, the response variable (y) should be the listing price and the predictor variable (x) should be the square feet.
    Specifically you must address the following rubric criteria, using the Module Two Assignment Template:
    Generate a Representative Sample of the Data
    Select a region and generate a simple random sample of 30 from the data.
    Report the mean, median, and standard deviation of the listing price and the square foot variables.
    Analyze Your Sample
    Discuss how the regional sample created is or is not reflective of the national market.
    Compare and contrast your sample with the population using the National Summary Statistics and Graphs Real Estate Data PDF document.
    Explain how you have made sure that the sample is random.
    Explain your methods to get a truly random sample.
    Generate Scatterplot
    Create a scatterplot of the x and y variables noted above. Include a trend line and the regression equation. Label the axes.
    Observe patterns
    Answer the following questions based on the scatterplot:
    Define x and y. Which variable is useful for making predictions?
    Is there an association between x and y? Describe the association you see in the scatter plot.
    What do you see as the shape (linear or nonlinear)?
    If you had a 1,800 square foot house, based on the regression equation in the graph, what price would you choose to list at?
    Do you see any potential outliers in the scatterplot?
    Why do you think the outliers appeared in the scatterplot you generated?
    What do they represent?

  • CHOOSE PROBLEM #4 Analyzing erroneous student work can improve your own understa

    CHOOSE PROBLEM #4
    Analyzing erroneous student work can improve your own understa

    CHOOSE PROBLEM #4
    Analyzing erroneous student work can improve your own understanding and ability to explain the steps for solving an equation.
    For this group discussion, you will review the provided faulty solutions and hypothetical student work within your group. The seven questions address the learning objectives from Modules 1 and 2. Each group member should analyze a different question, so be sure to communicate in your group who is taking which question.
    The document is hand-written, similar to the Show Work documents you are required to submit in Modules 5 and 9. If a screen-reader-accessible document is required, please refer to the following Module 2 Student Show Work Typed document.
    Module 2 Student Show Work (PDF)Download Module 2 Student Show Work (PDF)
    Module 2 Student Show Work Typed (DOCX)Download Module 2 Student Show Work Typed (DOCX)
    Analyze the work to determine:
    What error(s) did the student include?
    Why the student may have made each error.
    Rework the problem so that it is correct

  • Please read through the document and answer the questions in bold. Show the step

    Please read through the document and answer the questions in bold. Show the step

    Please read through the document and answer the questions in bold. Show the steps taken and/or reasoning used to arrive at your answer. Your final answers must be given in complete sentences. Include all requested graphs.
    Please create a separate document with your work and answers. This can be an annotated digital file, a typed document, a scan of handwritten work on paper, or a combination of these things, but the file type must be a PDF so that I can grade them effectively. This assignment may be turned in at any point before it is due.

  • For this paper it needs to contain the following: Introduction of a concept Summ

    For this paper it needs to contain the following:
    Introduction of a concept
    Summ

    For this paper it needs to contain the following:
    Introduction of a concept
    Summary of the concept/objective in your own words
    And example to illustrate the concept/ objective

  • There’s no limit to the word count its minimum 12 pages and maximum 20 pages. IM

    There’s no limit to the word count its minimum 12 pages and maximum 20 pages.
    IM

    There’s no limit to the word count its minimum 12 pages and maximum 20 pages.
    IMPORTANT:
    Any graphs or tables need it to be in one page, so no half in one and the other in the next page.
    I have finished but I will be giving you the feedback my teacher gave me and I need you to apply it.

  • 4 questions using www.overleaf.com (Latex) preferably so I can see the solution

    4 questions using www.overleaf.com (Latex) preferably so I can see the solution

    4 questions using www.overleaf.com (Latex) preferably so I can see the solution in scientific notation etc.
    Comments from Customer
    Link copied from the document for convenience: https://lib.stat.cmu.edu/DASL/Datafiles/carmpgdat.html