Provide the analysis using basic visualization tools

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Reference no: EM133371000

The time-series data named retail is built as part of the TSA library in R. This data set represents the retail sale (in billions) for the United Kingdom for the period January 1986 through March 2007. You will analyze this dataset and forecast the retail sales using the tools in R. Import the retail data in R. Remove the first 3 years (3x12=36 observations) from this dataset and continue to work with the remaining observations (i.e., shorter dataset).

1. Provide the analysis using basic visualization tools. A minimum of 3 plots are required for this analysis.

2. Is this data stationary? Why or why not?

3. Can we run this data set using seasonal means model with or without an intercept? If yes, then run the model and discuss your results. If no, make the appropriate adjustments, run the correct model in R and discus your results. Discussion should include a minimum 5 full sentences.

4. Can we run the same data set using the Cosine trend model? Justify without producing any analysis in R

Reference no: EM133371000

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