case study with spss program

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Case Study Submission Instructions Each submission should include one Microsoft Word document. The document should contain the following at a minimum: 1. An APA formatted title page, Table of Contents, page numbers on all pages, and the Honesty Statement below: I, state your name here, promise that I did not reference or use any previous solutions or statistics in this submission. I promise that all exercises are my original work and that no other individual, including a tutor, performed these statistics. Note: Assignments or case studies that do not have the associated honesty statement will be given a zero (0) on the associated assessment. 2. The exercise number (12.1) and a short (one paragraph) description of the problem you are solving. 3. The sub-exercise number (12.1.a) and the specific question you are responding to for each question in the problem. Unless otherwise specified in the instructions, you will complete each question in each problem assigned. 4. Cut and past the relevant SPSS outputs (Tables, graphs) into your word document, include a label, and then discuss your findings as they relate to the outputs. Give the relevant numbers (F-Values, R^2 Values, etc.) that support your conclusions in your discussion. Be sure that you are giving any specific values requested in the problem. The reader should be able to follow your analysis and understand how you came to your conclusion. 5. For each problem, include an Appendix with your screen shots showing the actual SPSS outputs for the problem. Include the Appendices in your Table of Contents. Computer screenshots are required for all statistical analysis and computation. Screenshots of your computer screen require a visible operating system date and time along with a unique background identifier specific to your computer. These must be included for all statistical tool analysis necessary for the exercises and case studies in this course. Assignments or case studies that do not have the associated screenshots and/or missing screenshots from the analysis will be given a zero (0) on the associated assessment. 6. Submit the Word document as one complete package. Do not submit any additional files

Case Study 1 Instructions Part 1 1. Read Case Study 2 (p.248) in the textbook: Modeling the Sale Prices of Residential Properties in Four Neighborhoods 2. An Excel data file TAMSALES4withDummy will email to you to run the first three models mentioned in the Case Study and turn in the computer screenshots. (You need to copy the data from the Excel file to SPSS spreadsheet and save it to run the models) 3. Answer just 1. of Following-up Questions Part 2 1. Use Exercise 5.53 as a reference. Solutions are on page 785. 2. Build your own model for real estate performance by researching at least 50 properties in an area of your choice: The performance of the real estate industry can be measured by the amount of unused or surplus capacity in real estate, the dependent variable y. Two qualitative independent variables should be used to model real estate performance, which are real estate type and market concentration. Real estate type includes 1) commercial real estate, and 2) residential real estate. Market concentration includes the levels of 1) high, 2) medium, and 3) low. 3. Construct the main effects model for E(y) as a function of two qualitative variables of real estate type and market concentration. 4. Explain and interpret the β coefficients in the main effects model. 5. Write a model for E(y) which includes interaction between the real estate type and market concentration independent variables. 6. Explain and interpret the β coefficients in the interactive model between both independent variables. 7. How would you test the hypothesis that the difference between the mean surplus capacity in real estate of the commercial real estate and residential real estate types is the same for all three market concentration levels (high, medium, low)? 8. Using at least three (3) supporting scholarly sources, write two (2) additional hypotheses by proposing relevant dependent variables that the independent variables of real estate type and market concentration may associate as predictors of real estate performance. .  Supporting your answer, justify each of the two hypotheses, their relevance, and their potential implications on the industry.  Define and thoroughly explain the relevant research design necessary to test each hypothesis.

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