Consider the data on new orders for computers and electronic
Consider the data on new orders for computers and electronic products and the M1 money supply for the years 2011 through 2014.
Year
Month
New Orders for Computers and Electronic Products
M-1 Money Supply
2011
1
19222
1855.6
2011
2
20727
1874.7
2011
3
24893
1892.0
2011
4
19375
1897.8
2011
5
20152
1934.3
2011
6
25075
1947.0
2011
7
18615
2001.5
2011
8
21289
2112.9
2011
9
27014
2126.0
2011
10
22179
2137.4
2011
11
20761
2172.0
2011
12
27818
2168.2
2012
1
19447
2202.3
2012
2
23043
2212.2
2012
3
26734
2228.7
2012
4
21897
2245.3
2012
5
22403
2251.0
2012
6
24942
2262.3
2012
7
19365
2314.6
2012
8
20240
2346.5
2012
9
25478
2383.6
2012
10
20790
2415.5
2012
11
20362
2423.2
2012
12
27841
2457.7
2013
1
17393
2467.6
2013
2
18725
2470.4
2013
3
22919
2474.8
2013
4
19560
2511.0
2013
5
20333
2522.0
2013
6
24619
2517.9
2013
7
18065
2545.6
2013
8
18487
2557.3
2013
9
24877
2578.8
2013
10
20410
2620.2
2013
11
20194
2622.2
2013
12
24955
2654.5
Using the same data, develop a weighted moving average forecast where the weight of the most recent data (t-1) is 0.50, 0.25 for period (t-2), 0.15 for period (t-3), and 0.10 for period (t-4).
| Year | Month | New Orders for Computers and Electronic Products | M-1 Money Supply | 
| 2011 | 1 | 19222 | 1855.6 | 
| 2011 | 2 | 20727 | 1874.7 | 
| 2011 | 3 | 24893 | 1892.0 | 
| 2011 | 4 | 19375 | 1897.8 | 
| 2011 | 5 | 20152 | 1934.3 | 
| 2011 | 6 | 25075 | 1947.0 | 
| 2011 | 7 | 18615 | 2001.5 | 
| 2011 | 8 | 21289 | 2112.9 | 
| 2011 | 9 | 27014 | 2126.0 | 
| 2011 | 10 | 22179 | 2137.4 | 
| 2011 | 11 | 20761 | 2172.0 | 
| 2011 | 12 | 27818 | 2168.2 | 
| 2012 | 1 | 19447 | 2202.3 | 
| 2012 | 2 | 23043 | 2212.2 | 
| 2012 | 3 | 26734 | 2228.7 | 
| 2012 | 4 | 21897 | 2245.3 | 
| 2012 | 5 | 22403 | 2251.0 | 
| 2012 | 6 | 24942 | 2262.3 | 
| 2012 | 7 | 19365 | 2314.6 | 
| 2012 | 8 | 20240 | 2346.5 | 
| 2012 | 9 | 25478 | 2383.6 | 
| 2012 | 10 | 20790 | 2415.5 | 
| 2012 | 11 | 20362 | 2423.2 | 
| 2012 | 12 | 27841 | 2457.7 | 
| 2013 | 1 | 17393 | 2467.6 | 
| 2013 | 2 | 18725 | 2470.4 | 
| 2013 | 3 | 22919 | 2474.8 | 
| 2013 | 4 | 19560 | 2511.0 | 
| 2013 | 5 | 20333 | 2522.0 | 
| 2013 | 6 | 24619 | 2517.9 | 
| 2013 | 7 | 18065 | 2545.6 | 
| 2013 | 8 | 18487 | 2557.3 | 
| 2013 | 9 | 24877 | 2578.8 | 
| 2013 | 10 | 20410 | 2620.2 | 
| 2013 | 11 | 20194 | 2622.2 | 
| 2013 | 12 | 24955 | 2654.5 | 
Solution
Year Month New Orders for Computers and Electronic Products M-1 Money Supply weighted moving average forecast for Computer and electronics = .5*(t-1) + .25*(t-2) + .15*(t-3) + .1*(t-4) weighted moving average forecast for M-1 Money Supply = .5*(t-1) + .25*(t-2) + .15*(t-3) + .1*(t-4) 2011 1 19222 1855.6 2011 2 20727 1874.7 2011 3 24893 1892 2011 4 19375 1897.8 2011 5 20152 1934.3 20942 1888.665 2011 6 25075 1947 20726.4 1912.87 2011 7 18615 2001.5 22971.05 1930.945 2011 8 21289 2112.9 20536.55 1967.425 2011 9 27014 2126 21074.7 2042.305 2011 10 22179 2137.4 24129 2086.15 2011 11 20761 2172 22897.85 2117.285 2011 12 27818 2168.2 22106.25 2150.54 2012 1 19447 2202.3 25127.5 2160.31 2012 2 23043 2212.2 22010.05 2182.74 2012 3 26734 2228.7 22632.05 2199.105 2012 4 21897 2245.3 24826.6 2214.565 2012 5 22403 2251 23033.15 2231.885 2012 6 24942 2262.3 22990.15 2242.35 2012 7 19365 2314.6 24029.7 2253.565 2012 8 20240 2346.5 21468.15 2285.055 2012 9 25478 2383.6 20942.85 2316.345 2012 10 20790 2415.5 23197.95 2351.845 2012 11 20362 2423.2 21737 2387.085 2012 12 27841 2457.7 21224.2 2407.665 2013 1 17393 2467.6 24677.3 2435.335 2013 2 18725 2470.4 20790.05 2453.255 2013 3 22919 2474.8 19923.1 2463.075 2013 4 19560 2511 21533.8 2470.91 2013 5 20333 2522 20057.8 2491.52 2013 6 24619 2517.9 20366.85 2507.01 2013 7 18065 2545.6 22618.65 2513.58 2013 8 18487 2557.3 20193.2 2531.675 2013 9 24877 2578.8 19485.9 2544.935 2013 10 20410 2620.2 22231.9 2562.355 2013 11 20194 2622.2 21003.8 2592.955 2013 12 24955 2654 20779.75 2608.7 weighted moving average forecast for Month 5, 2011 = .5 * value of month 4 + .35 *value of month 3 + .15* value of month 2 + .1* value of month 1 Note: above formula is as per the statement in question and it is applied on following months subsequently.





