Quantitative Techniques in Business (QTB)

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July 20, 2020
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July 20, 2020

Quantitative Techniques in Business (QTB)

Assignment Question:BlueChips is a franchise store that sells computers, software and hardware supplies. The following is the data about 12 franchise stores. You are being asked to analyse the following data in order to help to set up a new store.Region ANS SQFF VSI(000) ADVERT(000) SALD NOMPA 231 3 294 8.2 8.2 11B 156 2.2 232 6.9 4.1 12C 299 3.1 512 8.1 10.1 10D 570 5.4 788 17.4 12.3 1E 437 4.4 567 10.6 14.1 5F 428 4.2 577 10.5 14 7G 98 1.6 151 4.6 2.7 10H 398 4.3 342 5.5 16 4I 161 2.6 196 7.2 6.3 13J 528 5.6 615 12.3 16 0K 400 8.6 517 7 12 8KeyANS Annual net sales, in thousands of poundsSQFF Number of square feet of floor display in store, in thousands of square feetVSI Value of store inventory, in thousands of poundsADVERT Amount spent on local advertising, in thousands in poundsSALD Size of sales district, in thousands of familiesNOMP Number of competing or similar stores in sales districtRequired:Task 1 : GraphsUse relevant graphs to represent each of the following and examine them:(i) ANS and SALD(ii) SQFF and VSI(iii) ADVERT and SALD(iv) ANS and ADVERTTask 2 : Correlation AnalysisPerform a correlation analysis for ANS; ADVERT and SALD and examine the strength of relationship between them. Support your discussion with the relevant literature.Task 3 : Regression AnalysisWith the aid of linear regression, develop a model for the company using annual sales as the dependent variable. Your regression should be conducted at the 95% confidence level (or 5% level of significance). Support your discussion with the relevant literature.Report Writing1. Introduction [300 words]o The objectives/ rationale for the assignment should be capturedo The key highlights should be captured etc.2. Graphical Analysis [600 words]o Use relevant software tools to draw suitable graphs as specified in the Task 1o Discuss the nature of the relationship from the resulting graphso Your discussion should be supported with some relevant literature3. Correlation Analysis [800 words]o Use relevant software to produce a correlation matrix as specified in Task 2o Examine the strength of relationship between the ratioso Use relevant literature to support your discussion4. Regression Analysis [800 words]o Use relevant software to perform the regression analysis as specified in Task 3o Examine the resulting model using the relevant mechanisms such as goodness of fit; significance; the model and its interpretation etc.o Use relevant literature to support your discussion5. Conclusion and Recommendations [500 words]o Provide a suitable conclusion and recommendation for the entire discussiono Ensure your conclusion represents a reflective summary for the discussion6. Referencingo Use Harvard referencing style should be strictly followed.o Ensure your reference list include all citations in the text and others which may not be in the text (bibliography)o Ensure that your references are coming from quality sources such as articles; textbooks and other peer-reviewed journalsNote: Reference List ; Tables and Figures are not part of the word countSome Recommended Texto Curwin J. and Slater R. (2007) Quantitative Methods for Business Decisions, (5thedn) Chapman& Hallo Wisniewski, M (2010) Quantitative Methods for Decision Makers, (5th edn) FT Prentice Hallo Lucey T (2002) Quantitative Techniques, Thomson Learningo Oakshott L (2006),Essential Quantitative Methods for Business, Management and Finance, (3ndedn) Palgrave Macmillano Swift, L, Piff, S. (2010) Quantitative Methods for Business, Management and Finance, (3rd end) Palgraveo Field, A. (2009). Discovering statistics using SPSS. Sage publications.o Sekaran, U. (2006). Research methods for business: A skill building approach. John Wiley & Sons.Marking SchemeComponent Maximum Marks(%) CommentsIntroduction 5 An excellent introduction should provide clarity on the relevance of the report. It should also address the key highlights to be discussed in the report. One or two references should be included to add quality to presentation.Graphical Analysis 20 An excellent presentation should clearly label the axes; the use of an appropriate scale; and proper titles given to graphs. The Discussion of the relationships with the aid of relevant literature will be the major indicator here.Correlation Analysis 25 Candidate should demonstrate a clear understanding of the concept of correlation. Weak; Strong; Moderate and significant correlations should be given attention.Regression Analysis 25 The interpretation of the regression output is the major focus for this component. Candidate should demonstrate their ability to link theory with the practice.Conclusion & Recommendation 15 An excellent conclusion should provide a reflective summary of the entire presentation. Also the recommendation provided should be based on the findings of the analysis.Overall Presentation 10 Referencing; grammar; visuals and formatting. The word count will also be taken into consideration.Total 100