Question

We will be analyzing the R dataset 'ho2' which is in the fpp2 package in Rstudio (Note that the 'O' in the name is a ZERO i.e. 'h-ZERO-2' We examine the h02 dataset by printing it to the console with h02 and using ?h02. Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 0.4297950 0.4009060 0.4321590 0.4925430 0.5023690 0.6026520 1992 0.6601190 0.3362200 0.3513480 0.3798080 0.3618010 ©.4105340 0.4833887 0.4754634 0.5347610 0.5686061 0.5952233 0.7712578 1993 0.7515028 0.3875543 0.4272832 0.4138902 0.4288588 0.4701264 0.5092097 0.5584430 0.6015141 0.6329471 0.6996054 0.9630805 1994 0.8193253 0.4376698 0.5061213 0.4704912 0.5106963 0.5405138 0.5581189 0.6728521 0.6858974 0.6896920 0.7413036 0.8133076 1995 0.8031126 0.4752582 0.5525723 0.5271078 0.5612498 0.5889776 0.6231336 0.7408372 0.7253718 0.8158030 0.8140095 0.9266531 1996 0.9372759 0.5287616 0.5593399 0.5778717 0.6149274 0.5941888 0.7077584 0.7195020 6.7443237 0.8048551 0.7885423 0.9710894 1997 0.8468335 0.4638225 0.4852732 0.5280586 0.5623365 0.5885704 0.6694804 0.6779937 0.7629955 0.7997237 0.7705219 0.9943893 1998 0.8005444 0.4905572 0.5244080 0.5366495 0.5520905 0.6033656 0.6812454 0.6780753 0.7948926 0.7846239 0.8130087 0.9777323 1999 0.8930815 6.5126960 0.6529959 0.5739764 0.6392384 0.7038719 0.7706482 0.8461859 0.8927289 0.8978999 0.9472807 1.0507073 2000 0.9696557 0.5732915 0.6185068 0.6189957 0.6652092 0.7265201 0.8558649 0.8659843 0.8252488 0.9554210 0.9385960 1.0130244 2001 1.0438053 0.5106472 0.6725690 0.6484701 0.7041147 0.6994307 0.8519259 0.9077052 0.8674445 1.6242928 1.1095902 1.0123132 2002 1.1458676 0.5755844 0.6411646 0.6798621 0.7679384 0.7520959 0.9180636 0.9243675 1.0131977 1.0269761 1. 0067960 1.1027757 2003 1.0781449 0.5782962 0.6433333 0.6633674 0.7505160 0.800745 9163610 9168868 1.0846589 1.1506482 1.0508382 1.2232345 2004 1.1301252 0.6679887 0.7490143 0.7399860 0.7951286 0.8568028 1.0015932 0.9948643 1.1344320 1.1810110 1.2160370 1.2572380 2005 1.1706900 0.5976390 0.6525900 0.6705050 0.6952480 0.8422630 0.8743360 1.0064970 1.0947360 1.6270430 1.1492320 1.1607120 2006 1.2306910 0.5871350 0.7069590 0.6396410 0.8074050 0.7979700 0.8843120 1.0496480 0.9957090 1.1682530 1.1080380 1.1200530 2007 1.2233190 0.5977530 0.7043980 0.5617600 0.7452580 0.8379340 0.9541440 1.0782195 1.1109816 1.1099791 1.1635343 1.1765890 2008 1.2199410 0.7618220 0.6494350 0.8278870 0.8162550 6.7621370 Monthly corticosteroid drug sales in Australia from July 1991 to June 2008. Description Total monthly scripts for pharmaceutical products falling under ATC code H02, as recorded by the Australian Health Insurance Commission. Measured in millions of scripts.
Question

Answer 1

• We can see that there is significant increasing trend(nonlinear curvilinear) and seasonality in the time series data.

• Therefore option c is correct

OC. The trend is increasing, non-linear and there are a few cycles