STA70304 Business Analytics Assessment 2 Brief 2026 | Taylor’s University

School

Taylor's University (TU)

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Assignment Type

Individual Assignment

Subject

STA70304 Business Analytics

Uploaded by Malaysia Assignment Help

Date

05/15/2026

STA70304 Assessment 2 Brief

Module Code STA70304
Module Name Business Analytics
Assessment Assessment 2 (40%) (Continuous)

Part A

Requirements of Referencing Appendix to be Referred Marks
Question 1.A Referencing is not required Appendix 1_Housing v2 2 marks (Refer to marking rubrics for details)
Question 2.A Referencing is not required Appendix 1_Housing v2 18 marks (Refer to marking rubrics for details)

Case study

A questionnaire was designed based on past research. It had mainly closed-ended questions and three sections: A, B and C. Section A was used to gather data on nine variables describing the socio-economic and demographic profiles of the housing occupants. Section B had questions on 16 housing characteristics, while Section C dwelt on residents’ levels of satisfaction with 31 components of their home environment (i.e. residential satisfaction) and one question on satisfaction with life in the estates (see the Supplementary file). In collecting data on residents’ levels of satisfaction with their housing situations and satisfaction with life in the residential estates, a Five-Point Likert type scale starting from ‘1’ for Very Dissatisfied and ending with ‘5’ for Very Satisfied was used. The dataset was sourced from ten mass housing estates constructed between 2003 and 2010 by the Government of Ogun State using the Core housing, Shell, Public-Private Partnerships (PPPs) and Turnkey strategies in Lagos, Nigeria.

Question 1.A

Getting started

Work Required: Before performing advanced analysis in SPSS, you are required to prepare the Appendix 1_Housing v2 dataset as follows:

  • Variable Coding: Ensure all categorical variables (e.g., MARSTATUS, SEX, EMPLYSECT) are correctly coded with their respective value labels as defined in the data file.
  • Construct Averaging: The dataset contains 31 components of residential satisfaction (Section C). Group these items into logical constructs (e.g., Physical Facilities, Social Environment, Estate Management) and find the average score for each construct to be used in subsequent analyses.

Submit your cleaned and coded SPSS data file (.sav) as a separate attachment. Only use this cleaned dataset for all following questions.

Question 2.A

Perform descriptive statistics and associated methods

Work Required: Using your cleaned dataset, perform the following statistical methods and provide the output tables and interpretations:

  • Descriptive Analysis: Conduct descriptive statistics to gain initial insights into the distribution of socio-economic variables (Age, Income, Education) and the primary satisfaction scores.
  • Regression Modeling: Develop a Multiple Regression model to determine the factors influencing Overall Residential Satisfaction in the Ogun State housing estates. Use the construct averages created in Question 1.A as your independent variables.
  • Hypothesis Testing: Test at a 5% significance level whether the Length of Stay (LENGTHSTAY) has a significant effect on a resident’s satisfaction with life in the estates.
  • Factor Analysis: Perform a Factor Analysis on the 31 residential satisfaction components to identify the underlying dimensions (factors) that define housing quality in this context.

Please, insert all relevant SPSS output tables in your answer. Each table must be accompanied by a clear, technical interpretation of the results.

Part B

Requirements of Referencing Appendix to be Referred Marks
Question 1.B Referencing is not required Appendix 1_Housing v2 8 marks (Refer to marking rubrics for details)
Question 2.B Referencing is not required Appendix 1_Housing v2 6 marks (Refer to marking rubrics for details)
Question 3.B Referencing is not required Appendix 1_Housing v2 6 marks (Refer to marking rubrics for details)

Question 1.B

Practical Implications of Residential Satisfaction Findings

Work Required: Based on your analysis of the housing data, provide four (4) relevant practical implications for the Government of Ogun State to improve mass housing delivery. For each implication, consider the perspectives and interests of different stakeholders (e.g., the residents, government urban planners, and private developers under PPP strategies).

Please ensure to address the following aspects: quality of sentencing/grammar, clear structure, and the relevance of your justifications to the Nigerian housing context.

Question 2.B

Actionable Recommendations for Housing Authorities

Work Required: Based on the findings generated in Part A, present three (3) actionable recommendations for government bodies or private firms aiming to enhance the quality of mass housing estates. Your recommendations must be:

  • Specific: Directly related to the data findings (e.g., specific facility improvements).
  • Feasible: Realistic within the socioeconomic framework of Lagos/Ogun State.
  • Aligned: Supported by your regression and factor analysis results.

Please ensure to address the following aspects: quality of sentencing/grammar, clear structure, and the relevance of your justifications to the Nigerian housing context.

Question 3.B

Group task

Data Validity & Reliability

Is the dataset used for this assessment qualitative?

Work Required: You are part of a brainstorming session to reflect on the validity, reliability, and generalizability of the Housing v2 dataset (collected from 10 housing estates).

  • You are required to comment on at least one peer’s response on the Canvas platform. Discuss the strengths and weaknesses of their argument in a professional manner.
  • Discuss one (1) constructive argument (with justification) regarding whether this quantitative survey data effectively captures the “lived experience” of the residents.
  • Your initial answer and your peer comment must be written on the Canvas platform under Assessment 2 (Part 2) – Group Task.

Format of the group:

  • Your answer must be written on Canvas platform
  • You must comment on at least one peer’s answer
  • Link is provided on Canvas under Assessment 2 (Continuous) April 2026 Part 2 –Group task

Human-Written STA70304 Business Analytics Assignment Solutions

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Are you finding STA70304 Business Analytics Assessment 2 difficult to complete? Many Taylor’s University students struggle with SPSS data coding, regression modelling, factor analysis, and interpreting statistical outputs correctly. Sometimes the analysis part is manageable, but explaining the results in a proper academic way becomes confusing. At Malaysia Assignment Help, we provide expert statistics assignment help according to your module requirements and assessment guidelines. You can also check our taylor’s university assignments for better understanding of SPSS reports and business analytics tasks. Order case stydy writing help and get a plagiarism-free, custom-written solution with properly interpreted statistical analysis and clear academic structure.

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