3. The following time plots and ACF plots correspond to three different time series. Match each time plot in the first row with one of the ACF plots in the second row. Explain how you know you are correct. un Juu upolaly seasonally, cyclicity and trend? What do you learn about the series? 3. The following time plots and ACF plots correspond to three different time series. Match each time plot in the first row with one of the ACF plots in the second row. Explain how you know you are correct. M y Drug Sales * Explore the following four time series from the package fpp2: usdeaths, bricks, sunspotarea, BaBoline. Determine the frequency and start/end dates of each time series. Also use me graphics functions au 'aphics functions autoplot(.ggsubseriesplot, and ggAcf on each time series. a. Determine whether seasonality, cyclically, or trend appears in the p b. Comment on your observations of each time series. - Use the ggseasonplot() and ggsubseriesplot(functions to explore the seasonal patterns in the following time series from the package fpp2: writing, fancy, a10, h02. a. What can you say about the seasonal patterns? b. Can you identify any unusual years? February 2, 2020 at 11pm mit homework online i Canvas For Rull credits ALL W R codes Neview Cases and case in Section 1.5 of Forecasting Principles and Practice that the relevant stats are available, list four possible predictor variables that may be useful to each Download some monthly Australian retail data from here. These represent retail sales in vari Os categories for different Australian states, and are stored in a MS Excel file. Read the data into R. Note that you must add the parameterskip-1 because the Excel sheet has two header row. Create a time series object using the column A.3349873A with monthly frequency and a start date of April 1982. e xplore the times series with the following functions: autoploto. easonploto. gaubseriesplot(.aglagplot().ggACE(). a. Can you spor any seasonality, cyclicity and trend? What do you learn about the series The following time plots and ACF plots correspond to three different time series. Match each fime plot in the first row with one of the ACF plots in the second row. Explain how you know you are correct. 3. The following time plots and ACF plots correspond to three different time series. Match each time plot in the first row with one of the ACF plots in the second row. Explain how you know you are correct. un Juu upolaly seasonally, cyclicity and trend? What do you learn about the series? 3. The following time plots and ACF plots correspond to three different time series. Match each time plot in the first row with one of the ACF plots in the second row. Explain how you know you are correct. M y Drug Sales * Explore the following four time series from the package fpp2: usdeaths, bricks, sunspotarea, BaBoline. Determine the frequency and start/end dates of each time series. Also use me graphics functions au 'aphics functions autoplot(.ggsubseriesplot, and ggAcf on each time series. a. Determine whether seasonality, cyclically, or trend appears in the p b. Comment on your observations of each time series. - Use the ggseasonplot() and ggsubseriesplot(functions to explore the seasonal patterns in the following time series from the package fpp2: writing, fancy, a10, h02. a. What can you say about the seasonal patterns? b. Can you identify any unusual years? February 2, 2020 at 11pm mit homework online i Canvas For Rull credits ALL W R codes Neview Cases and case in Section 1.5 of Forecasting Principles and Practice that the relevant stats are available, list four possible predictor variables that may be useful to each Download some monthly Australian retail data from here. These represent retail sales in vari Os categories for different Australian states, and are stored in a MS Excel file. Read the data into R. Note that you must add the parameterskip-1 because the Excel sheet has two header row. Create a time series object using the column A.3349873A with monthly frequency and a start date of April 1982. e xplore the times series with the following functions: autoploto. easonploto. gaubseriesplot(.aglagplot().ggACE(). a. Can you spor any seasonality, cyclicity and trend? What do you learn about the series The following time plots and ACF plots correspond to three different time series. Match each fime plot in the first row with one of the ACF plots in the second row. Explain how you know you are correct