MIS171: The Boomers’ Melbourne Rivals are the Southside Flyers - Economics Assignment Help

Assignment Task:

Task:

Description:

This is an individual assignment, which focuses on materials presented up to and including Week 9. The scenarios presented in this assessment task simulates a data-driven fact-based solution to a scenario faced by the Deakin Melbourne Boomers. For confidentiality reasons, actual data has not been used in the assessment tasks. To prepare for the assignment, you need to a) analyse the provided dataset, b) interpret the results, and c) draft some summaries and conclusions. Once you have done this, take part in an online test. The following introduction to this scenario is followed by detailed guidelines. Deakin Melbourne Boomers The Deakin Melbourne Boomers have been a part of the Women’s National Basketball League (WNBL) since 1984, making the club both the oldest WNBL club and the longest-running elite-level women’s sports team in Australia (in any sport). The iconic brand of the Boomers is both nationally and internationally recognised, most notably for being home to more Olympians and Opals than any other basketball club across Australia. For 30 years the team was known as the Bulleen Boomers, before transforming into the Melbourne Boomers in 2013. In 2015 Deakin University joined as the club’s Naming Rights partner. Page 2 of 8

The Boomers’ Melbourne rivals are the Southside Flyers,

which were formed in 2019. The Flyers are based in Dandenong. The Boomers are also based in Melbourne’s eastern suburbs. There are no other Melbourne-based WNBL teams. Currently, the Boomers have almost 7,000 members. There are also more than 3,000 non-members on the Boomers’ database, making a distribution list of over 10,000 contacts.

Scenario: The Boomers Campaigns and Promotions The Boomers use a variety of “campaigns” to engage with all contacts on their database. All campaigns invite members to renew their membership and non-members to join. Assume that you are recruited by the Boomers as a business analyst. You have been asked by Ms Christy Collier, the General Manager, to analyse a sample of 250 randomly selected campaigns from the past 10 years alongside new memberships from January 2011 to December 2020. Christy requires answers to the following questions. Your responses will be used as part of a report to the Managing Board. Christy has divided the questions into Multiple Linear Regression Modelling and Time Series Analysis. Christy’s questions together with guidelines (shown in blue) are presented below. For all calculations, consider three decimal places.

1. Multiple Linear Regression Modelling: Campaign Revenue is an important measure for the Deakin Melbourne Boomers. Build a multiple regression model to predict the Campaign Revenue. Your model should provide insights into which of the factors influence a campaign’s revenue, as well as the ability to predict revenue for various scenarios.

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