UNDERGRADUATE ASSIGNMENT SPECIFICATION Programme: BABS Module Level (3,4,5 or 6): 4 Module: Quantitative Techniques In Business Module code: SBLC4002Contribution to Overall Module Assessment (%): 50% Assignment No(s): 1 of 1 Assignment Title(s): Regression and Correlation Analysis Lecturer: Sarangan Thevarajah Internal Verifier: Chandranna Rayadurg Hand Out Date: 10/04/2017 Submission deadline: Feedback deadline: 20/06/2017 TBC Referencing: In the main body of your submission you must give credit to authors on whose research your work is based. Append to your submission a reference list that indicates the books, articles, etc. that you have read or quoted in order to complete this assignment (e.g. for books: surname of author and initials, year of publication,title of book, edition, publisher: place of publication). Disclosure: I declare that this assignment is all my own work and that I have acknowledged all materials used from the published or unpublished works of other people. All references have been duly cited. Student’s Signature: (Only where hard copies required) Date: Turnitin: All assignments must be submitted to Turnitin unless otherwise instructed by the Lecturer. Note: the Turnitin version is the primary submission and acts as a receipt for the student. Late submission of the electronic version of the assignment will result in a late penalty mark. Penalties for late submission: Up to one weeks late, maximum mark of 50%. Over one week late, Refer. Only the UWTSD Extenuating Circumstances Panel may grant an extension. YES x NO Learning Outcomes tested (from module syllabus) Assessment CriteriaTo achieve each outcome a student must demonstrate the ability to: 1. To develop the student’s ability to understand the use of mathematics and statistics in solving business problems · Have an basic understanding of some of the models in statistical data analysis and their use in business decision-making 2. To provide an introduction to statistics and commonly used quantitative methods, which will prove useful in helping students to understand and appreciate other modules in the Business Studies programme · Appreciate different types of decision-making environments · Comprehend the purpose and use of mathematics and statistics in business based problems 3. To encourage the student to use appropriate computer software to present and analyse statistical data in the context of quality production and business related problems. · Use computers to summarise, analyse and present data meaningfully TASK DESCRIPTION 'Go Green' is a franchise store that sells house plants, lawn and garden 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(£) ADVERT(£) SALD NOMP A 231 3 294 8.2 8.2 11 B 156 2.2 232 6.9 4.1 12 C 299 3.1 512 8.1 10.1 10 D 570 5.4 788 17.4 12.3 1 E 43 ...