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Let's practice time-series forecasting of new home sales. Click here (https://www.census.gov/construction/nrs/historical_data/index.html) to see the newest data in the first table: Houses Sold (Excel file is

Let's practice time-series forecasting of new home sales. Click here (https://www.census.gov/construction/nrs/historical_data/index.html) to see the newest data in the first table: Houses Sold (Excel file is sold_cust.xls). Look at the monthly data on the "Reg Sold" tab. If you have trouble with the link, I have recreated the data in moodle in the Excel file "A3Q3 Census Housing Data."

Only keep the dates beginning in January 2005, so delete the earlier observations, and use the data through December 2023. Keep only the US data, both the seasonally unadjusted monthly (column B) and the seasonally adjusted annual (column G). Make a new column of seasonally adjusted monthly by dividing the annual data by 12. Make a column called "t" where t will go from 1 (Jan. 2005) to 228 (December 2023); make a t2 column too (since, if you look at the data, you can see sales are somewhat U-shaped; hence the quadratic). Also make a column "D" that is a dummy variable equal to one during the spring and summer months of March through August.

Determine the correlation between the unadjusted and the adjusted monthly data (=CORREL(unadjust., adjust.) in Excel), and produce scatterplots (with straight lines) of both. Do you think making a seasonal adjustment will be useful, given what you observe at this point?

Run four regressions: 1) seasonally unadjusted monthly as the dependent, and t and t2 as the independents, 2) seasonally unadjusted monthly as the dependent, and t, t2, and D as the independents, 3) seasonally adjusted monthly as the dependent, and t and t2 as the independents, and 4) seasonally adjusted monthly as the dependent, and t, t2, and D as the independents. Discuss your findings, and determine which of the four models is the best for forecasting new home sales. When interpreting your p-values, remember that, say, 1.0E-08 is 1.0 * 10^-8, which is 0.00000001. State the equation that would be used to forecast sales.

Month US NSA month US SA month T T2 D
Jan-05 92 100.25 1 1 0
Feb-05 109 109.92 2 4 0
Mar-05 127 110.67 3 9 1
Apr-05 116 105.00 4 16 1
May-05 120 107.17 5 25 1
Jun-05 115 106.17 6 36 1
Jul-05 117 115.75 7 49 1
Aug-05 110 104.58 8 64 1
Sep-05 99 103.67 9 81 1
Oct-05 105 111.33 10 100 0
Nov-05 86 101.17 11 121 0
Dec-05 87 103.25 12 144 0
Jan-06 89 97.83 13 169 0
Feb-06 88 88.42 14 196 0
Mar-06 108 93.00 15 225 1
Apr-06 100 93.58 16 256 1
May-06 102 90.50 17 289 1
Jun-06 98 89.50 18 324 1
Jul-06 83 80.42 19 361 1
Aug-06 88 86.25 20 400 1
Sep-06 80 84.67 21 441 1
Oct-06 74 78.42 22 484 0
Nov-06 71 83.58 23 529 0
Dec-06 71 83.17 24 576 0
Jan-07 66 74.25 25 625 0
Feb-07 68 69.00 26 676 0
Mar-07 80 69.42 27 729 1
Apr-07 83 73.92 28 784 1
May-07 79 70.17 29 841 1
Jun-07 73 66.08 30 900 1
Jul-07 68 64.83 31 961 1
Aug-07 60 58.25 32 1024 1
Sep-07 53 57.17 33 1089 1
Oct-07 57 60.58 34 1156 0
Nov-07 45 53.42 35 1225 0
Dec-07 44 51.58 36 1296 0
Jan-08 44 52.25 37 1369 0
Feb-08 48 49.42 38 1444 0
Mar-08 49 44.58 39 1521 1
Apr-08 49 44.67 40 1600 1
May-08 49 42.00 41 1681 1
Jun-08 45 40.58 42 1764 1
Jul-08 43 39.75 43 1849 1
Aug-08 38 36.25 44 1936 1
Sep-08 35 36.08 45 2025 1
Oct-08 32 32.75 46 2116 0
Nov-08 27 32.42 47 2209 0
Dec-08 26 31.42 48 2304 0
Jan-09 24 28.00 49 2401 0
Feb-09 29 31.00 50 2500 0
Mar-09 31 28.25 51 2601 1
Apr-09 32 28.08 52 2704 1
May-09 34 31.33 53 2809 1
Jun-09 37 32.75 54 2916 1
Jul-09 38 34.25 55 3025 1
Aug-09 36 34.83 56 3136 1
Sep-09 30 32.17 57 3249 1
Oct-09 33 33.00 58 3364 0
Nov-09 26 31.25 59 3481 0
Dec-09 24 29.33 60 3600 0
Jan-10 24 28.75 61 3721 0
Feb-10 27 28.00 62 3844 0
Mar-10 36 31.75 63 3969 1
Apr-10 41 35.17 64 4096 1
May-10 26 23.33 65 4225 1
Jun-10 28 25.42 66 4356 1
Jul-10 26 23.58 67 4489 1
Aug-10 23 23.50 68 4624 1
Sep-10 25 26.42 69 4761 1
Oct-10 23 24.25 70 4900 0
Nov-10 20 23.92 71 5041 0
Dec-10 23 27.17 72 5184 0
Jan-11 21 25.58 73 5329 0
Feb-11 22 22.50 74 5476 0
Mar-11 28 25.00 75 5625 1
Apr-11 30 25.83 76 5776 1
May-11 28 25.42 77 5929 1
Jun-11 28 25.08 78 6084 1
Jul-11 27 24.67 79 6241 1
Aug-11 25 24.92 80 6400 1
Sep-11 24 25.33 81 6561 1
Oct-11 25 26.33 82 6724 0
Nov-11 23 27.33 83 6889 0
Dec-11 24 28.42 84 7056 0
Jan-12 23 27.92 85 7225 0
Feb-12 30 30.50 86 7396 0
Mar-12 34 29.50 87 7569 1
Apr-12 34 29.50 88 7744 1
May-12 35 30.83 89 7921 1
Jun-12 34 30.00 90 8100 1
Jul-12 33 30.75 91 8281 1
Aug-12 31 31.25 92 8464 1
Sep-12 30 32.08 93 8649 1
Oct-12 29 29.83 94 8836 0
Nov-12 28 32.67 95 9025 0
Dec-12 28 33.25 96 9216 0
Jan-13 32 37.17 97 9409 0
Feb-13 36 37.25 98 9604 0
Mar-13 41 37.00 99 9801 1
Apr-13 43 36.75 100 10000 1
May-13 40 35.67 101 10201 1
Jun-13 43 39.17 102 10404 1
Jul-13 33 31.25 103 10609 1
Aug-13 31 31.75 104 10816 1
Sep-13 31 33.58 105 11025 1
Oct-13 36 37.00 106 11236 0
Nov-13 32 37.17 107 11449 0
Dec-13 31 36.08 108 11664 0
Jan-14 33 36.92 109 11881 0
Feb-14 35 35.00 110 12100 0
Mar-14 39 33.75 111 12321 1
Apr-14 39 33.58 112 12544 1
May-14 43 37.58 113 12769 1
Jun-14 38 34.83 114 12996 1
Jul-14 35 33.50 115 13225 1
Aug-14 36 38.00 116 13456 1
Sep-14 37 39.17 117 13689 1
Oct-14 38 39.67 118 13924 0
Nov-14 31 36.83 119 14161 0
Dec-14 35 41.42 120 14400 0
Jan-15 39 42.92 121 14641 0
Feb-15 45 45.00 122 14884 0
Mar-15 46 40.00 123 15129 1
Apr-15 48 41.83 124 15376 1
May-15 47 41.83 125 15625 1
Jun-15 44 40.00 126 15876 1
Jul-15 43 42.17 127 16129 1
Aug-15 41 43.17 128 16384 1
Sep-15 35 38.00 129 16641 1
Oct-15 39 40.17 130 16900 0
Nov-15 36 42.00 131 17161 0
Dec-15 38 45.50 132 17424 0
Jan-16 39 42.08 133 17689 0
Feb-16 45 43.08 134 17956 0
Mar-16 50 44.33 135 18225 1
Apr-16 55 48.00 136 18496 1
May-16 53 47.58 137 18769 1
Jun-16 50 46.42 138 19044 1
Jul-16 54 52.33 139 19321 1
Aug-16 46 47.92 140 19600 1
Sep-16 44 46.50 141 19881 1
Oct-16 46 47.92 142 20164 0
Nov-16 40 47.58 143 20449 0
Dec-16 39 46.75 144 20736 0
Jan-17 45 47.75 145 21025 0
Feb-17 51 48.92 146 21316 0
Mar-17 61 52.67 147 21609 1
Apr-17 56 49.83 148 21904 1
May-17 57 52.92 149 22201 1
Jun-17 56 51.58 150 22500 1
Jul-17 48 47.67 151 22801 1
Aug-17 45 46.33 152 23104 1
Sep-17 50 53.08 153 23409 1
Oct-17 49 52.17 154 23716 0
Nov-17 50 59.25 155 24025 0
Dec-17 45 52.50 156 24336 0
Jan-18 48 49.17 157 24649 0
Feb-18 54 51.50 158 24964 0
Mar-18 66 56.58 159 25281 1
Apr-18 61 53.50 160 25600 1
May-18 62 55.17 161 25921 1
Jun-18 56 53.00 162 26244 1
Jul-18 52 52.33 163 26569 1
Aug-18 47 49.42 164 26896 1
Sep-18 46 49.58 165 27225 1
Oct-18 43 46.17 166 27556 0
Nov-18 44 52.08 167 27889 0
Dec-18 38 45.50 168 28224 0
Jan-19 49 49.25 169 28561 0
Feb-19 57 53.17 170 28900 0
Mar-19 68 58.75 171 29241 1
Apr-19 64 57.92 172 29584 1
May-19 56 50.17 173 29929 1
Jun-19 66 63.58 174 30276 1
Jul-19 55 55.75 175 30625 1
Aug-19 57 60.00 176 30976 1
Sep-19 56 59.58 177 31329 1
Oct-19 55 60.08 178 31684 0
Nov-19 50 59.17 179 32041 0
Dec-19 49 57.75 180 32400 0
Jan-20 59 57.08 181 32761 0
Feb-20 63 58.25 182 33124 0
Mar-20 59 50.75 183 33489 1
Apr-20 52 47.42 184 33856 1
May-20 64 58.00 185 34225 1
Jun-20 79 78.00 186 34596 1
Jul-20 85 84.92 187 34969 1
Aug-20 81 85.75 188 35344 1
Sep-20 77 82.33 189 35721 1
Oct-20 78 85.58 190 36100 0
Nov-20 61 71.92 191 36481 0
Dec-20 63 72.75 192 36864 0
Jan-21 77 75.08 193 37249 0
Feb-21 70 63.75 194 37636 0
Mar-21 83 70.83 195 38025 1
Apr-21 74 67.50 196 38416 1
May-21 65 59.58 197 38809 1
Jun-21 61 59.67 198 39204 1
Jul-21 62 63.33 199 39601 1
Aug-21 55 57.50 200 40000 1
Sep-21 58 61.83 201 40401 1
Oct-21 51 56.67 202 40804 0
Nov-21 54 64.33 203 41209 0
Dec-21 61 69.17 204 41616 0
Jan-22 70 67.50 205 42025 0
Feb-22 71 64.42 206 42436 0
Mar-22 68 58.92 207 42849 1
Apr-22 56 50.92 208 43264 1
May-22 58 53.00 209 43681 1
Jun-22 48 46.92 210 44100 1
Jul-22 44 45.25 211 44521 1
Aug-22 51 53.17 212 44944 1
Sep-22 44 47.25 213 45369 1
Oct-22 43 48.08 214 45796 0
Nov-22 41 48.50 215 46225 0
Dec-22 47 53.00 216 46656 0
Jan-23 55 54.08 217 47089 0
Feb-23 56 52.08 218 47524 0
Mar-23 62 53.33 219 47961 1
Apr-23 60 56.58 220 48400 1
May-23 67 59.17 221 48841 1
Jun-23 58 56.92 222 49284 1
Jul-23 60 60.67 223 49729 1
Aug-23 52 54.50 224 50176 1
Sep-23 55 58.17 225 50625 1
Oct-23 51 56.33 226 51076 0
Nov-23 42 51.25 227 51529 0
Dec-23 50 55.33 228 51984 0

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