This is the data for the questions. I copied it from an excel file. You have 162 monthly values of retails sales of hardware stores (HW) in the US.
a) Estimate and report a linear trend component for the HW time series using the ordinary least squares (OLS) technique.
b) Compute a seasonal index using a 12 month centered moving average fo the HW series. Based on your results, would you describe hardware as a seasonal business? Explain.
c) Do an in-sample forecast on Books sales using the multiplicative time series technique (assume the cyclical component is equal to 1 for every month).
d) Use the information contained in the following table to perform a forecast of HW for November and December 2015 using the multiplicative time series technique (Note: you will need to compute a trend comonent for these months using the equation you obtained in a.
| t | YR | MO | HW | | 1 | 2002 | 1 | 1154 | | 2 | 2002 | 2 | 1094 | | 3 | 2002 | 3 | 1292 | | 4 | 2002 | 4 | 1534 | | 5 | 2002 | 5 | 1685 | | 6 | 2002 | 6 | 1600 | | 7 | 2002 | 7 | 1555 | | 8 | 2002 | 8 | 1467 | | 9 | 2002 | 9 | 1322 | | 10 | 2002 | 10 | 1403 | | 11 | 2002 | 11 | 1398 | | 12 | 2002 | 12 | 1458 | | 13 | 2003 | 1 | 1185 | | 14 | 2003 | 2 | 1110 | | 15 | 2003 | 3 | 1338 | | 16 | 2003 | 4 | 1492 | | 17 | 2003 | 5 | 1747 | | 18 | 2003 | 6 | 1670 | | 19 | 2003 | 7 | 1622 | | 20 | 2003 | 8 | 1544 | | 21 | 2003 | 9 | 1492 | | 22 | 2003 | 10 | 1507 | | 23 | 2003 | 11 | 1443 | | 24 | 2003 | 12 | 1524 | | 25 | 2004 | 1 | 1197 | | 26 | 2004 | 2 | 1138 | | 27 | 2004 | 3 | 1421 | | 28 | 2004 | 4 | 1636 | | 29 | 2004 | 5 | 1801 | | 30 | 2004 | 6 | 1736 | | 31 | 2004 | 7 | 1689 | | 32 | 2004 | 8 | 1571 | | 33 | 2004 | 9 | 1535 | | 34 | 2004 | 10 | 1496 | | 35 | 2004 | 11 | 1489 | | 36 | 2004 | 12 | 1591 | | 37 | 2005 | 1 | 1247 | | 38 | 2005 | 2 | 1173 | | 39 | 2005 | 3 | 1445 | | 40 | 2005 | 4 | 1691 | | 41 | 2005 | 5 | 1805 | | 42 | 2005 | 6 | 1776 | | 43 | 2005 | 7 | 1615 | | 44 | 2005 | 8 | 1613 | | 45 | 2005 | 9 | 1575 | | 46 | 2005 | 10 | 1632 | | 47 | 2005 | 11 | 1606 | | 48 | 2005 | 12 | 1703 | | 49 | 2006 | 1 | 1343 | | 50 | 2006 | 2 | 1279 | | 51 | 2006 | 3 | 1554 | | 52 | 2006 | 4 | 1755 | | 53 | 2006 | 5 | 2004 | | 54 | 2006 | 6 | 1877 | | 55 | 2006 | 7 | 1752 | | 56 | 2006 | 8 | 1726 | | 57 | 2006 | 9 | 1598 | | 58 | 2006 | 10 | 1654 | | 59 | 2006 | 11 | 1691 | | 60 | 2006 | 12 | 1750 | | 61 | 2007 | 1 | 1451 | | 62 | 2007 | 2 | 1380 | | 63 | 2007 | 3 | 1710 | | 64 | 2007 | 4 | 1777 | | 65 | 2007 | 5 | 2092 | | 66 | 2007 | 6 | 1965 | | 67 | 2007 | 7 | 1726 | | 68 | 2007 | 8 | 1735 | | 69 | 2007 | 9 | 1589 | | 70 | 2007 | 10 | 1667 | | 71 | 2007 | 11 | 1678 | | 72 | 2007 | 12 | 1739 | | 73 | 2008 | 1 | 1420 | | 74 | 2008 | 2 | 1340 | | 75 | 2008 | 3 | 1539 | | 76 | 2008 | 4 | 1806 | | 77 | 2008 | 5 | 2083 | | 78 | 2008 | 6 | 1968 | | 79 | 2008 | 7 | 1797 | | 80 | 2008 | 8 | 1698 | | 81 | 2008 | 9 | 1611 | | 82 | 2008 | 10 | 1695 | | 83 | 2008 | 11 | 1610 | | 84 | 2008 | 12 | 1677 | | 85 | 2009 | 1 | 1360 | | 86 | 2009 | 2 | 1244 | | 87 | 2009 | 3 | 1517 | | 88 | 2009 | 4 | 1753 | | 89 | 2009 | 5 | 1985 | | 90 | 2009 | 6 | 1788 | | 91 | 2009 | 7 | 1627 | | 92 | 2009 | 8 | 1545 | | 93 | 2009 | 9 | 1480 | | 94 | 2009 | 10 | 1573 | | 95 | 2009 | 11 | 1485 | | 96 | 2009 | 12 | 1649 | | 97 | 2010 | 1 | 1304 | | 98 | 2010 | 2 | 1259 | | 99 | 2010 | 3 | 1553 | | 100 | 2010 | 4 | 1777 | | 101 | 2010 | 5 | 1875 | | 102 | 2010 | 6 | 1761 | | 103 | 2010 | 7 | 1658 | | 104 | 2010 | 8 | 1544 | | 105 | 2010 | 9 | 1494 | | 106 | 2010 | 10 | 1564 | | 107 | 2010 | 11 | 1672 | | 108 | 2010 | 12 | 1741 | | 109 | 2011 | 1 | 1355 | | 110 | 2011 | 2 | 1272 | | 111 | 2011 | 3 | 1539 | | 112 | 2011 | 4 | 1796 | | 113 | 2011 | 5 | 2093 | | 114 | 2011 | 6 | 1977 | | 115 | 2011 | 7 | 1817 | | 116 | 2011 | 8 | 1842 | | 117 | 2011 | 9 | 1688 | | 118 | 2011 | 10 | 1774 | | 119 | 2011 | 11 | 1768 | | 120 | 2011 | 12 | 1800 | | 121 | 2012 | 1 | 1491 | | 122 | 2012 | 2 | 1432 | | 123 | 2012 | 3 | 1799 | | 124 | 2012 | 4 | 2023 | | 125 | 2012 | 5 | 2330 | | 126 | 2012 | 6 | 2035 | | 127 | 2012 | 7 | 1810 | | 128 | 2012 | 8 | 1771 | | 129 | 2012 | 9 | 1606 | | 130 | 2012 | 10 | 1804 | | 131 | 2012 | 11 | 1780 | | 132 | 2012 | 12 | 1753 | | 133 | 2013 | 1 | 1479 | | 134 | 2013 | 2 | 1402 | | 135 | 2013 | 3 | 1595 | | 136 | 2013 | 4 | 1825 | | 137 | 2013 | 5 | 1965 | | 138 | 2013 | 6 | 1844 | | 139 | 2013 | 7 | 1738 | | 140 | 2013 | 8 | 1726 | | 141 | 2013 | 9 | 1604 | | 142 | 2013 | 10 | 1744 | | 143 | 2013 | 11 | 1680 | | 144 | 2013 | 12 | 1730 | | 145 | 2014 | 1 | 1565 | | 146 | 2014 | 2 | 1497 | | 147 | 2014 | 3 | 1757 | | 148 | 2014 | 4 | 1877 | | 149 | 2014 | 5 | 2075 | | 150 | 2014 | 6 | 1925 | | 151 | 2014 | 7 | 1904 | | 152 | 2014 | 8 | 1848 | | 153 | 2014 | 9 | 1797 | | 154 | 2014 | 10 | 1956 | | 155 | 2014 | 11 | 1850 | | 156 | 2014 | 12 | 1931 | | 157 | 2015 | 1 | 1756 | | 158 | 2015 | 2 | 1686 | | 159 | 2015 | 3 | 1994 | | 160 | 2015 | 4 | 2162 | | 161 | 2015 | 5 | 2276 | | 162 | 2015 | 6 | 2144 | | 163 | 2015 | 7 | 2194 | | 164 | 2015 | 8 | 2204.667 | | 165 | 2015 | 9 | 2180.889 | | 166 | 2015 | 10 | 2193.185 | |
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Are you looking for a holt-winters forecast? I am not sure as to what do you mean by HW time-series
However, this video may help if you are looking for holt-winters method.
https://www.youtube.com/watch?v=qpiWJaeJPtA
If you have further doubts or need clarifications, feel free to ask.