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### Task:

Exercise 1 – Application

As for Report 1:

For the purposes of this report, only consider the data from March 2011 to February 2020 as the sample of data that is available to you – that is, ignore any recent observations.

This means that the first actual observation in your Excel file is from March 2011 and your last actual observation in your Excel file is from February 2020.

For the Seasonally-adjusted data for Cafes, Restaurants and Takeaway Food (Series ID: A3348639K) available in Table 1: Forecast the out-of-sample values for every month in the period March 2020 –February 2021 (both months inclusive) using a simple linear regression with an intercept, and time (t= 1, 2, 3,… ) as the explanatory variable.

Exercise 2 – Application

As for Report 1:

For the purposes of this report, only consider the data from March 2011 to February 2020 as the sample of data that is available to you – that is, ignore any recent observations.

Exercise 3

Your Exercise 3 responses should refer to Exercise 2. In addition to this, you may refer to Exercise 1. For the model in Exercise 2, given that you have the actual data for the out-of-sample period (you considered the within-sample period to end in February 2020 – but you do have data for March 2020 and onwards) – discuss your forecasting method, your forecasts, and the business insights from these, using the following steps:

Attribution
▪ Scope
▪ Application
▪ Analysis
▪ Articulation of Issues
▪ Critique
▪ Position

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### MGT204â€“Sales and promotion

Consider the customer-centred logistics involved in the manufacture of flat pack wooden furniture products in China for a New Zealand business. The New Zealand business then adds value by assembling the product before using distributors to supply retail outlets. The product sells as good quality,med ...

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