Write My Paper Button

Uncategorized

Group Assignment Guidelines and Specifications PART A (25 marks) Assume your group is the data analytic steam in a renowned Australian company. The company offers its assistance to a distinct group of clients, including (but not limi

May 4, 2025 · 8 min read · By adminPro

📋 Table of Contents

    HI6007 Statistics for Business Decisions Assignment Help

    Group Assignment

    Assessment Details and Submission Guidelines
    Trimester T1 2025
    Unit Code HM6007 Block Mode 1
    Unit Title Statistics for Business Decisions
    Assessment Type Group Assignment
    Due Date+ time:

    25/04/2025

    11.59pm(Melb/Sydtime)

    Weight 40%
    Submission Guidelines
    • All work must be submitted on Blackboard by the due date along with a completed Assignment Cover Page.
    • The assignment must be in MSWord format unless otherwise specified.
    Academic Integrity Information Holmes Institute is committed to ensuring and upholding academic integrity. All assessments must comply with academic integrity guidelines. Please learn about academic integrity and consult your teachers with any questions. Violating academic integrityisseriousandpunishablebypenaltiesthatrangefromdeductionofmarks, failure of the assessment task or unit involved, suspension of course enrolment, or cancellation of course enrolment.
    Penalties
    • All work must be submitted on Blackboard by the due date and time, along with a completed Assessment Cover Page. Late penalties apply.
    • 20%penalty applicable for solo (single student)group submissions.
    • Your answers must be based on Holmes Institute syllabus of this unit. Outside sources may not amount to more than 10% of any answer and must be correctly referenced in full. Over-reliance on outside sources will be penalised
    • Reference sources must be cited in the text of the report and listed appropriately at the end in a reference list using Holmes Institute Adapted Harvard

      Referencing. Penalties are associated within correct citation and referencing.

    Group Assignment Guidelines and Specifications

    PART A (25 marks)

    Assume your group is the data analytic steam in a renowned Australian company. The company offers its assistance to a distinct group of clients, including (but not limited to) public listed companies, small businesses, and educational institutions .The company has undertaken several data analysis projects ,all based on multiple regression analysis. One such project is related to the real estate market in Australia, and the team needs to answer the following research question based on their analysis.

    Research question:

    How do different factors, such as the size of the land, the number of bedrooms, the distance to the nearest secondary school, and the number of garage spaces, influence the selling price of residential properties?

    Data Collection Task(5 marks)

    Create a dataset (in Excel) that satisfies the following conditions.(You are required to upload the data file separately).

    • Minimum number of observations–100 observations.
    • The data set should be based on houses sold from 01/01/2025 onwards. (To verify the data set, you are required to add a hyper link to each property’s details from the real estate websites that you used. (5 marks)

    Questions (20 marks)

    1. Conduct a descriptive statistical analysis in Excelusing the data analysis tool. Create a table that includes the following descriptive statistics for each variable in your data set: mean, median, mode, variance, standard deviation, skewness, kurtosis, and coefficient of variation. (4 marks)
    2. Provide a brief commentary on the descriptive statistics you calculated. Describe the characteristics of the distribution for each variable based on these statistics. (3 marks)
    3. Create an appropriate graph to illustrate the distribution of the number of bedrooms in your dataset.(2)
    4. Derive a suitable graph to represent the relationship between the dependent variable and the land size in your data set and comment on the identified relationship. (3 marks)
    5. Based on the data set, perform multiple regression analysis and correlation analysis, and answer the questions given below.
    • At a 5% significance level, test the overall model significance.(3marks)
      • Ata5% significance level, assess the significance of the independent variables in the model.(3marks)
      • Perform correlation analysis and based on the correlation coefficients in the correlation output,assess the correlation between explanatory variables and check for the possibility of multicollinearity.(2mrk)

    Part B (10marks)

    In Australia many people are involved in multi-jobs to supplement their income. There is  an on going discussion surrounding work force development, and the gender-specific challenges in Australia’s employment landscape. The phenomenon of multiple job holders and their supplementary income sources is of major interest to policy makers, employers, and the general public.

    Using data obtained from the ABS. We will specifically investigate the various issues related to employment in Australia, focusing on employment income between first and second job in Financial and insurance services sector.

    Research Question:

    What the relationship between first and second job employment income in Australia.

    Task

    Note: Refer the data given the excel file“HIM6007 T1 2025 Group Assessment-Dataset”

     

    Based on the dataset ,perform regression analysis, and answer the questions given below.

    1. Derive the simple regression equation.(1mark)
    2. Interpret the meaning of the coefficients in the regression equation.(2marks)
    3. Interpret the calculated coefficient of determination. (2marks)
    4. At a5% significance level, test the over all model significance.(3marks)
    5. Select an appropriate analysis to compare Male and Female employment income(2 marks)

    PART C(5 marks)

    1. Based on the answers in PART A above, write a summary of your analysis addressing the research question

    (100-150words).(3 marks)

    1. Based on the answers in PART B above, write a summary of your analysis addressing the research question

    (100words).(2marks)

    Marking criteria

    Marking criteria Weighting
    PART A(25 marks)  
    Data collection(Excel spreadsheet) 5marks
    Descriptive statistical analysis and review(Questions I and ii) 7marks
    Graphical representations of data (Questions iii and iv) 5marks
    Regression and correlation output  and interpretation of coefficients(Questions  v) 8marks
    PARTB(10marks)  
    Derive the multiple regression equation and interpret the meaning of all the coefficients in the regression equation (Question I, ii & iii) 5marks
    Assessing the overall model significance and Compare Male and Female employment income (Question iv) 5marks
    PARTC(5marks)  
    Summary(I and ii) 5marks
    TOTAL Weight 40Marks

     

    Assessment Feedback to the Student:

     

    Marking Rubric

      Excellent Very Good Good Satisfactory Unsatisfactory
    Performing Demonstration of Demonstration of Demonstration of Demonstration of Demonstration of
    descriptive outstanding very good Good knowledge Basic knowledge Poorknowledge on
    Statistical analysis Knowledge on Knowledge on On descriptive on descriptive Descriptive measures
    And review of the descriptive descriptive measures measures  
    Calculated values measures measures      
    Deriving suitable Demonstration of Demonstration of Demonstration of Demonstration of Demonstration of poor
    Graph to represent outstanding Very good Good knowledge Basic knowledge on Knowledge  on
    The relationship between variables

    knowledge

    on presentation of data

    knowledge on presentation of data

    using presentation

    On presentation of data using suitable

    Chart types.

    Presentation  of

    data

    using suitable chart

    Presentation of data using suitable chart

    types.

      using suitable chart Of data using   types.  
      types. Suitable chart types.      
    Deriving multiple regression equation based on the regression output.

    Demonstration of outstanding knowledge

    On regression model estimation and interpretation

    Demonstration of very good knowledge on regression model estimation and interpretation Demonstration of good knowledge on regression model estimation and interpretation Demonstration of basic knowledge on regression model estimation and interpretation

    Demonstration of poor knowledge on regression

    Model estimation and interpretation

    Interpreting the calculated coefficient of determination.

    Demonstration of outstanding knowledge

    on coefficient of determination calculation and interpretation of relationship between

    variables

    Demonstration of very good knowledge on coefficient of determination  calculation and interpretation of relationship Demonstration of good knowledge on coefficient of determination  calculation and interpretation of relationship between variables

    Demonstration of basic knowledge on coefficient of determination calculation and interpretation of relationship

    Between variables

    Demonstration of poor knowledge on coefficient of determination  calculation and interpretation of relationship between

    variables

        Between variables      
    Assessing the overall model significance. Demonstration of outstanding knowledge on model significance

    Demonstration of very good

    Knowledge on model significance

    Demonstration of good knowledge on model

    significance

    Demonstration of basic knowledge eon model significance Demonstration of poor knowledge on model significance
    Assessing the significance of independent variables in the model. Demonstration of outstanding knowledge on significance of independent variables.

    Demonstration of very good knowledge on significance of independent

    variables.

    Demonstration of good knowledge on significance of independent

    variables.

    Demonstration of basic knowledge on significance of independent

    variables.

    Demonstration of poor knowledge on

    Significance of independent variables.

    Examining the correlation between explanatory variables and check the possibility of

    Multi collinearity.

    Demonstration of outstanding knowledge on correlation

    coefficient calculation, interpretation of relationship between

    variables and

    Demonstration of very good knowledge on correlation coefficient calculation, interpretation of relationship  between variables Demonstration of good knowledge correlation coefficient calculation, interpretation of relationship  between variables and assessing Demonstration of basic knowledge on correlation coefficient calculation, interpretation of relationship between variables and assessing

    Demonstration of poor knowledge on

    correlation coefficient calculation, interpretation of relationship between variables and assessing

      assessing multi collinearity. and assessing multicollinearity. multicollinearity. multicollinearity. multicollinearity.
    Addressing research questions based on data analysis Demonstration of outstanding knowledgeon addressingresearch questions based on data analysis.

    Demonstrationof very good knowledge on addressingresearch questionsbasedon

    dataanalysis.

    Demonstrationof good knowledge on addressing research questionsbased on data

    analysis.

    Demonstration of basicknowledgeon addressingresearch  questionsbasedon data analysis. Demonstration of poor knowledgeon addressingresearch questionsbased on data analysis.

    Your final submission is due Friday of week ten before midnight.

    The following penalties will apply:

    1. Late submissions-5%perday.
      1. No coversheet OR inaccuracies on the coversheet-10%
      2. No title page-10%
      3. Inaccuracies in referencing OR incomplete referencing OR not in Holmes-adapted- Harvard style -10%
      4. Solo Group penalty-20%

    Student Assessment Citation and Referencing Rules

    Holmes has implemented a revised Harvard approach to referencing. The following rules apply:

    1. Reference sources in assignments are limited to sources that provide full-text access to the source’s content for lecturers and markers.
    2. The reference list must be located on a separate page at the end of the essay and titled: “References”.
    3. The reference list must include the details of all the in-text citations, arranged A-Z alphabetically by author’s surname with each reference numbered(1to10,etc.)and each reference MUST include a hyperlink to the full text of the cited reference source.For example:

    Hawking,P.,McCarthy,B.&Stein,A.2004.SecondWaveERPEducation,Journalof

    Information Systems Education,Fall,http://jise.org/Volume15/n3/JISEv15n3p327.pdf

    1. All assignments must include in-text citations to the listed references. These must include the surname of the author/s or name of the authoring body, year of publication, page number of the content, and paragraph where the content can be found. For example, “The company decided to implement an enterprise-wide data warehouse business intelligenceStrategy (Hawkingetal.,2004,p3(4)).”
    cid:image001.png@01D70919.7D6E4510

    Non-Adherence to Referencing Rules

    Where students do not follow the above rules ,penalties apply:

    1. For students who submit assignments that do not comply with all aspects of the rules,a10% penalty willBe applied.

    Need Help with Your Assignment?

    Post your brief free on TopEssay.com and post your brief free and get expert quotes in minutes.

    Get Expert Help Free →
    WeCreativez WhatsApp Support
    Our customer support team is here to answer your questions. Ask us anything!
    👋 Hi, how can I help?