Consider the following time series: Quarter Year 1 Year 2 Year 3 1 68 65 59 2 49 41 51 3 61 63 56 4 82 85 76 (a) Choose a time series plot. (0) 100 80 60 yt 40 20 0 1 9 6 7 8 Periodt 10 11 12 (1) 100 80 60 yt 40 20 0 2 6 8 Periodt) 10 11 12 100 80 60 40 Prod 9 10 11 12 (H) 100 50 40 Period 9 10 11 12 (lv) 100 30 0 40 20 10 11 12 Prodot Select your awer What type of patients in the data is there an indication of a seasonal patter? Select your answer (1) Use a multiple linear regression model with any variables as follows to developmention to count for sin offects in the date 117 otherwisefor active or negative numbers use a mission therefore the Macam 001 002+ Comote the quarterly forecast for dyear Year Quarter 1 2 4 3 4