Question 1:
10 Multiple Choice questions. 2 marks each. 20 marks total
Question 2:
5 Short Answer questions. 3, 3, 2, 3, 4 marks respectively. 15 marks total
Presentation of Report (Part A) and Part B (including spelling and grammar): 5 marks
Part A
1.0 Objective:
The purpose of this project is to provide you with an opportunity to demonstrate synthesis, understanding and communication of some of the concepts, statistical methods, and practical analyses that you have learnt in this course. This project focuses on the multiple regression method including:
1. Creating and defining an SPSS data set.
2. Data exploration, descriptive analysis and fitting an appropriate linear model.
3. Interpreting the results produced by SPSS.
4. Checking the assumptions of the fitted model.
5. Preparing/writing a report on the project as a research report within 5 pages (maximum).
2.0 The Data:
A consultancy company (the client) has asked you to explore some data about basketball players. The dataset, Basketball.xlsx, is a random sample of major league basketball players (N=54 players). The following variables were recorded for each player:
X1 = height in feet
X2 = weight in pounds
X3 = percent of successful field goals (out of 100 attempted) X4 = percent of successful free throws (out of 100 attempted) X5 = average points scored per game
Reference: The Official NBA Basketball Encyclopedia, Villard Books
The dataset is available on the assessment page of the STA8170 StudyDesk. Import this dataset into SPSS (no hand calculations are required). If you have any difficulty importing the dataset, please first check the relevant video under the SPSS Video Demonstrations link on the StudyDesk. Make sure all sections of the Variable View are completed correctly before you begin addressing the Tasks below.
First, perform Tasks 1 and 2 to address the Research Question defined below. Once you have completed all your analysis (Section 4.0) and are happy with your results then write a 5-page (maximum) report for the client (consultancy company). The structure of your report should follow the report template provided on in Section 5.0 (pages 4-5).
Note: Even though you are to work through Sections 3.0 and 4.0 these do not constitute your Part A submission. You need to incorporate these responses within the 5-page report (as per Section 5.0, which will use some of your responses from Section 4.0).
3.0 The Research Question:
The client would like to know: Can the average points scored per game be effectively modelled by the height and weight of players and their percent of successful field goals and free throws?
To address this question, you will need to consider the complete data analysis process as outlined in Section 4.0 below, and then communicate your process and findings as described in Section 5.0 below.
4.0 Data Analysis Process:
a. Identify the appropriate response and explanatory variables based on the information provided in Sections 1.0, 2.0 and 3.0 above.
b. Select appropriate summary statistics to describe: the dataset, each of the variables, and the relationships between pairs of variables. You may wish to include plot(s) to help you describe linear relationships between variables.
c. State and define the appropriate multiple regression model and null hypothesis for the model. Perform the multiple regression analysis and interpret the overall significance of the model.
d. Interpret the significance of all individual regression parameters. Find and interpret the 95% confidence interval (using SPSS, not by hand) for the most significant regression coefficient. State the fitted regression model.
e. Discuss the assumptions of the analysis method in context.
f. Discuss the overall suitability of the regression model, reporting appropriate statistics as part of your discussion.
5.0 Template for the Report (5 pages maximum)
Once you have competed the Data Analysis Process (Section 4.0), you will then need to communicate your work in the form of a Report (5 pages maximum). This report will form your submission for Part A. The report should be written using any technical terms needed to convey information correctly, but also needs to be understandable to the client (assume the client has a workable statistical knowledge).
General guidelines:
• There are no marks given for referencing, however you are encouraged to attempt this as per your discipline if you have learnt how to do so (the reference list isn’t included in your 5-page limit).
• Note that all reports will be checked for plagiarism, so make sure it is your own work.
• You should only include relevant SPSS output in your report.
• Do not include an Appendix.
• Submit only 1 pdf file which includes your Part A Report and Answers to Part B.
Introduction (7 marks)
• This should include a brief introduction into your report (suggest 0.5 to 1 page), specifically
o The purpose of the overall dataset and a brief overview of the dataset
o What data/variables you are analysing in the report
o What questions you are going to address in the report, ensuring you cover 4a in the Data Analysis Process items.
o Try to keep this section succinct so that you have more room for the analysis and interpretation (see sections below).
o You are not expected to do any additional research on the data context – all the information required for the Introduction is provided to you in this document.
Methods (20 marks)
• This section requires a clear and concise description of what and how the analysis was performed, and the rationale for why specific procedures were chosen. This includes methods relevant to 4b – 4f inclusive of the Data Analysis Process items (suggest 1 - 1.5 pages).
• This section should not include any results, just describe what you did and why.
Results & Interpretation (30 marks)
• This will be the largest section and includes all your Tables, Figures, and results from your analyses results (suggest 1.5 – 2.5 pages).
• Clearly present and interpret the results from all methods described in the methods section (i.e.
4b – 4f inclusive of the Data Analysis Process items).
• You can use tables and figures (plots) to help you describe the results. You can copy/paste figures and tables directly from SPSS, however only relevant output that you interpret in context should be included. (Remember: if you are using SPSS via Turbo you will need to take screen shots of output rather than copy/paste.)
Conclusions (13 marks)
• Provide a short, final conclusion answering the research question asked by the client (suggest
<0.5 pages)
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