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Time series modelling relies on two important elements

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Time series modelling relies on two important elements. They are time series data and the time series models. In this individual assignment, students are requested to analyse time series data by using existing time series models. 
Section 1— Data Collection (20%) Due Date: 27 September 2021 — 1 October 2021  (0 You are required to find four sets of data which contains the following characteristics, but not limited to • Trend — linear or quadratic • Seasonal • Cyclical • Irregular / random • heteroscedasticitics (ii) State the source of the data. Provide a rationale for the considered duration of data collection. Explain the characteristics explicitly. (iii) Discuss the difference between deterministic time series models and stochastic time series models. 
You are required to write a report for Section 1. The should also cover all the key points, be written in a simple manner, with concrete detail to help readers to understand the context. 
DO NOT exceed 10 pages with double spacing, including references and appendices. 
Assessment Rubrics — Data Collection 
Data Management • Data is reasonable and logical 15 • Justification was clearly stated — such as the duration considered and the source • Perform relevant characteristics Content and writing skills • All facts presented were accurate 5 • Resources are well provided • Well organised and easy to follow • References are included