Hi Requesting urgent help in answering the question below. The question is a time series analysis question, and involves usage of the R software in generating the various plots as the question requires. Please provide steps and show R codes as well, for guidance and clarity.

Monthly sales figures of a product (rose) from January 1980 to July 1995 may be found in the file rose . dat (a) (i) Produce a time plot with appropriate labeling. (ii) Produce a box plot of seasonal values, and hence identify any seasonal variation. (iii) Produce a time plot of the series with seasonal component re- moved. (iv) Extract the January sales figures over the period 1980 to 1995 as a time series to produce a time plot and overlay a line of regres- sion using 'Rose sales' as the response (y) variable, and 'time' as the predictor (r) variable. (b) Justifying your response, with additional R output to support your case as necessary, choose between an additive or multiplicative seasonal model in (a) (iii) The data for this question is below 118 129 66 116 168 118 129 205 147 150 267 rose 112 126 129 124 97 102 127 222 214 118 141 154 226 89 77 82 97 127 121 117 117 106 112 134 169 75 108 115 85 101 108 109 124 105 95 135 164 88 85 112 87 91 87 87 142 95 108 139 159 61 82 124 93 108 75 87 103 90 108 123 129 57 65 67 71 76 67 110 118 99 85 107 141 58 65 70 86 93 74 87 73 101 100 96 157 63 115 70 66 67 83 79 77 102 116 100 135 71 60 89 74 73 91 86 74 87 87 109 137 43 69 73 77 69 76 78 70 83 65 110 132 54 55 66 65 60 65 96 55 71 63 74 106 34 47 56 53 53 55 67 52 46 51 58 91 33 40 46 45 41 55 57 54 46 52 48 77 30 35 42 48 44 45 46 44 46 51 63 84 30 39 45 52 28 40 62