Use the International Stock Market database from “Excel Databases.xls” on Blackboard. Use Excel to develop a multiple regression model to predict the Nikkei by the DJIA, the Nasdaq, the S&P 500, the Hang Seng, the FTSE 100, and the IPC. Assume a 1% level of significance. What percent of residuals are within 1 standard error? Write your answer as a number rounded to 1 decimal place. Do not include the % sign in your answer DATE DJIA NASDAQ S&P 500 NIKKEI 225 HANG SENG FTSE 100 IPC 9-Feb 8270.87 1591.56 869.89 87.63 1658.5 5774.95 1351.73 9-Jan 8000.86 1476.42 825.88 97.73 1856.39 6375.22 1616.08 8-Dec 8776.39 1577.03 903.25 89.49 1820.22 6033.18 1436.55 8-Nov 8829.04 1535.57 896.24 86.68 1850.86 7041.92 1612.58 8-Oct 9336.93 1720.95 968.75 107.68 2319.76 8780.95 2284.53 8-Sep 10850.66 2091.88 1164.74 118.69 2678.44 10077.78 2554.66 8-Aug 11543.55 2367.52 1282.83 121.78 2929.61 10569.58 2700.02 8-Jul 11378.02 2325.55 1267.38 127.03 2834.06 10912.45 2814.32 8-Jun 11350.01 2292.98 1280 138.12 3182.05 11797.14 3059.82 8-May 12638.32 2522.66 1400.38 132.27 3304.82 12020.49 2886.28 8-Apr 12820.13 2412.80 1385.59 124.23 2970.75 11561.18 2996.44 8-Mar 12262.89 2279.10 1322.7 125.67 3029.8 11534.82 2757.18 8-Feb 12266.39 2271.48 1330.63 127.03 3094.02 11869.34 2721.47 8-Jan 12650.36 2389.86 1378.55 137.03 3566.91 12853.11 2706.25 7-Dec 13264.82 2652.28 1468.36 141.48 3680.01 13202.62 2744.68 7-Nov 13371.72 2660.96 1481.14 146.86 4059.75 13710.23 2887.75 7-Oct 13930.01 2859.12 1549.38 145.66 3493.38 13292.91 2824.73 7-Sep 13895.63 2701.50 1526.75 142.62 3066.91 12744.42 2795.17 7-Aug 13357.74 2596.36 1473.99 142.31 2868.1 12683.95 2738.32 7-Jul 13211.99 2546.27 1455.27 148.36 2785.83 13271.05 2918.1 7-Jun 13408.62 2603.23 1503.35 147.16 2638.3 13213.43 2979.65 7-May 13627.64 2604.52 1530.62 144.26 2597.52 12833.75 2650.22 7-Apr 13062.91 2525.09 1482.37 144.55 2534.49 12491.48 2643.28 7-Mar 12354.35 2421.64 1420.86 148.38 2476.25 11972.75 2381.06 7-Feb 12268.63 2416.15 1406.82 145.38 2617.79 12379.44 2533.66 7-Jan 12621.69 2463.93 1438.24 144.57 2567.06 12175.05 2442.83 6-Dec 12463.15 2415.29 1418.3 141.71 2403.98 11926.86 2268.27 6-Nov 12221.93 2431.77 1400.63 139.99 2372.8 11727.62 2145.5 6-Oct 12080.73 2366.71 1377.94 138.07 2251.33 11229.61 1969.79 6-Sep 11679.07 2258.43 1335.85 137.52 2240.08 11323.31 1942.88 6-Aug 11381.15 2183.75 1303.82 134.09 2175.71 10981.88 1810.7 6-Jul 11185.68 2091.47 1276.66 135.75 2101.99 10851.78 1804.9 6-Jun 11150.22 2172.09 1270.2 137.92 2016.67 10740.7 1699.2 6-May 11168.31 2178.88 1270.09 149.8 2148.93 11033.48 1870.23 6-Apr 11367.14 2322.57 1310.61 146.92 2070.09 10464.16 1805.45 6-Mar 11109.32 2339.79 1294.87 137.66 2039.02 10244.06 1820.84 6-Feb 10993.41 2281.39 1280.66 139.92 2029.29 10324.87 1837.52 6-Jan 10864.86 2305.82 1280.08 136.5 1918.66 9646 1685.12 5-Dec 10717.50 2205.32 1248.29 125.61 1942.99 9490.98 1627.2 5-Nov 10805.87 2232.82 1249.48 118.87 1879.79 9413.49 1479.4 5-Oct 10440.07 2120.30 1207.01 118.36 1984.42 9652.19 1490.35 5-Sep 10568.70 2151.69 1228.81 113.63 1949.17 9746.37 1353.07 5-Aug 10481.60 2152.09 1220.33 106.54 1927.06 9366.65 1376.06 5-Jul 10640.91 2184.83 1234.18 104.15 1827.1 9142.46 1259.04 5-Jun 10274.97 2056.96 1191.33 104.66 1782.11 9098.04 1211.94 5-May 10467.48 2068.22 1191.5 104.65 1783.94 9089.81 1127.03 5-Apr 10192.51 1921.65 1156.85 109.24 1729.81 9281.12 1140.06 5-Mar 10503.76 1999.23 1180.59 112.78 1802.76 9600.89 1243.08 5-Feb 10766.23 2051.72 1203.6 109.39 1740.82 9221.95 1193.78 5-Jan 10489.94 2062.41 1181.27 111.68 1830.55 9162.32 1164.34 4-Dec 10783.01 2175.44 1211.92 104.79 1821.7 9130.15 1094.63 4-Nov 10428.02 2096.81 1173.82 100.91 1683.15 8568.45 1007.95 4-Oct 10027.47 1974.99 1130.2 99.49 1682.63 8369.66 975.11 4-Sep 10080.27 1896.84 1114.58 101.64 1669.73 8074.64 906.4 4-Aug 10173.92 1838.10 1104.24 101.27 1564.33 8065.1 890.57 4-Jul 10139.71 1887.36 1101.72 109.97 1575.17 8032.19 894.2 4-Jun 10435.48 2047.79 1140.84 102.77 1552.7 8126.01 875.08 4-May 10188.45 1986.74 1120.68 106.54 1532.17 7967.62 891.59 4-Apr 10225.57 1920.15 1107.3 112.69 1627.42 8192.45 950.59 4-Mar 10357.70 1994.22 1126.21 103.45 1788.16 8479.88 924.09 4-Feb 10583.92 2029.82 1144.94 102.15 1671.89 7969.92 880.17 4-Jan 10488.07 2066.15 1131.13 99.62 1619.86 8014.26 782.69 9-Feb 8270.87 1591.56 869.89 87.63 1658.5 5774.95 1351.73
Use the International Stock Market database from “Excel Databases.xls” on Blackboard. Use Excel to develop a multiple regression model to predict the Nikkei by the DJIA, the Nasdaq, the S&P 500, the Hang Seng, the FTSE 100, and the IPC. Assume a 1% level of significance. What percent of residuals are within 1 standard error? Write your answer as a number rounded to 1 decimal place. Do not include the % sign in your answer DATE DJIA NASDAQ S&P 500 NIKKEI 225 HANG SENG FTSE 100 IPC 9-Feb 8270.87 1591.56 869.89 87.63 1658.5 5774.95 1351.73 9-Jan 8000.86 1476.42 825.88 97.73 1856.39 6375.22 1616.08 8-Dec 8776.39 1577.03 903.25 89.49 1820.22 6033.18 1436.55 8-Nov 8829.04 1535.57 896.24 86.68 1850.86 7041.92 1612.58 8-Oct 9336.93 1720.95 968.75 107.68 2319.76 8780.95 2284.53 8-Sep 10850.66 2091.88 1164.74 118.69 2678.44 10077.78 2554.66 8-Aug 11543.55 2367.52 1282.83 121.78 2929.61 10569.58 2700.02 8-Jul 11378.02 2325.55 1267.38 127.03 2834.06 10912.45 2814.32 8-Jun 11350.01 2292.98 1280 138.12 3182.05 11797.14 3059.82 8-May 12638.32 2522.66 1400.38 132.27 3304.82 12020.49 2886.28 8-Apr 12820.13 2412.80 1385.59 124.23 2970.75 11561.18 2996.44 8-Mar 12262.89 2279.10 1322.7 125.67 3029.8 11534.82 2757.18 8-Feb 12266.39 2271.48 1330.63 127.03 3094.02 11869.34 2721.47 8-Jan 12650.36 2389.86 1378.55 137.03 3566.91 12853.11 2706.25 7-Dec 13264.82 2652.28 1468.36 141.48 3680.01 13202.62 2744.68 7-Nov 13371.72 2660.96 1481.14 146.86 4059.75 13710.23 2887.75 7-Oct 13930.01 2859.12 1549.38 145.66 3493.38 13292.91 2824.73 7-Sep 13895.63 2701.50 1526.75 142.62 3066.91 12744.42 2795.17 7-Aug 13357.74 2596.36 1473.99 142.31 2868.1 12683.95 2738.32 7-Jul 13211.99 2546.27 1455.27 148.36 2785.83 13271.05 2918.1 7-Jun 13408.62 2603.23 1503.35 147.16 2638.3 13213.43 2979.65 7-May 13627.64 2604.52 1530.62 144.26 2597.52 12833.75 2650.22 7-Apr 13062.91 2525.09 1482.37 144.55 2534.49 12491.48 2643.28 7-Mar 12354.35 2421.64 1420.86 148.38 2476.25 11972.75 2381.06 7-Feb 12268.63 2416.15 1406.82 145.38 2617.79 12379.44 2533.66 7-Jan 12621.69 2463.93 1438.24 144.57 2567.06 12175.05 2442.83 6-Dec 12463.15 2415.29 1418.3 141.71 2403.98 11926.86 2268.27 6-Nov 12221.93 2431.77 1400.63 139.99 2372.8 11727.62 2145.5 6-Oct 12080.73 2366.71 1377.94 138.07 2251.33 11229.61 1969.79 6-Sep 11679.07 2258.43 1335.85 137.52 2240.08 11323.31 1942.88 6-Aug 11381.15 2183.75 1303.82 134.09 2175.71 10981.88 1810.7 6-Jul 11185.68 2091.47 1276.66 135.75 2101.99 10851.78 1804.9 6-Jun 11150.22 2172.09 1270.2 137.92 2016.67 10740.7 1699.2 6-May 11168.31 2178.88 1270.09 149.8 2148.93 11033.48 1870.23 6-Apr 11367.14 2322.57 1310.61 146.92 2070.09 10464.16 1805.45 6-Mar 11109.32 2339.79 1294.87 137.66 2039.02 10244.06 1820.84 6-Feb 10993.41 2281.39 1280.66 139.92 2029.29 10324.87 1837.52 6-Jan 10864.86 2305.82 1280.08 136.5 1918.66 9646 1685.12 5-Dec 10717.50 2205.32 1248.29 125.61 1942.99 9490.98 1627.2 5-Nov 10805.87 2232.82 1249.48 118.87 1879.79 9413.49 1479.4 5-Oct 10440.07 2120.30 1207.01 118.36 1984.42 9652.19 1490.35 5-Sep 10568.70 2151.69 1228.81 113.63 1949.17 9746.37 1353.07 5-Aug 10481.60 2152.09 1220.33 106.54 1927.06 9366.65 1376.06 5-Jul 10640.91 2184.83 1234.18 104.15 1827.1 9142.46 1259.04 5-Jun 10274.97 2056.96 1191.33 104.66 1782.11 9098.04 1211.94 5-May 10467.48 2068.22 1191.5 104.65 1783.94 9089.81 1127.03 5-Apr 10192.51 1921.65 1156.85 109.24 1729.81 9281.12 1140.06 5-Mar 10503.76 1999.23 1180.59 112.78 1802.76 9600.89 1243.08 5-Feb 10766.23 2051.72 1203.6 109.39 1740.82 9221.95 1193.78 5-Jan 10489.94 2062.41 1181.27 111.68 1830.55 9162.32 1164.34 4-Dec 10783.01 2175.44 1211.92 104.79 1821.7 9130.15 1094.63 4-Nov 10428.02 2096.81 1173.82 100.91 1683.15 8568.45 1007.95 4-Oct 10027.47 1974.99 1130.2 99.49 1682.63 8369.66 975.11 4-Sep 10080.27 1896.84 1114.58 101.64 1669.73 8074.64 906.4 4-Aug 10173.92 1838.10 1104.24 101.27 1564.33 8065.1 890.57 4-Jul 10139.71 1887.36 1101.72 109.97 1575.17 8032.19 894.2 4-Jun 10435.48 2047.79 1140.84 102.77 1552.7 8126.01 875.08 4-May 10188.45 1986.74 1120.68 106.54 1532.17 7967.62 891.59 4-Apr 10225.57 1920.15 1107.3 112.69 1627.42 8192.45 950.59 4-Mar 10357.70 1994.22 1126.21 103.45 1788.16 8479.88 924.09 4-Feb 10583.92 2029.82 1144.94 102.15 1671.89 7969.92 880.17 4-Jan 10488.07 2066.15 1131.13 99.62 1619.86 8014.26 782.69 9-Feb 8270.87 1591.56 869.89 87.63 1658.5 5774.95 1351.73
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
Use the International Stock Market database from “Excel Databases.xls” on Blackboard. Use Excel to develop a multiple regression model to predict the Nikkei by the DJIA, the Nasdaq, the S&P 500, the Hang Seng, the FTSE 100, and the IPC. Assume a 1% level of significance.
What percent of residuals are within 1 standard error? Write your answer as a number rounded to 1 decimal place. Do not include the % sign in your answer
| DATE | DJIA | NASDAQ | S&P 500 | NIKKEI 225 | HANG SENG | FTSE 100 | IPC | |
| 9-Feb | 8270.87 | 1591.56 | 869.89 | 87.63 | 1658.5 | 5774.95 | 1351.73 | |
| 9-Jan | 8000.86 | 1476.42 | 825.88 | 97.73 | 1856.39 | 6375.22 | 1616.08 | |
| 8-Dec | 8776.39 | 1577.03 | 903.25 | 89.49 | 1820.22 | 6033.18 | 1436.55 | |
| 8-Nov | 8829.04 | 1535.57 | 896.24 | 86.68 | 1850.86 | 7041.92 | 1612.58 | |
| 8-Oct | 9336.93 | 1720.95 | 968.75 | 107.68 | 2319.76 | 8780.95 | 2284.53 | |
| 8-Sep | 10850.66 | 2091.88 | 1164.74 | 118.69 | 2678.44 | 10077.78 | 2554.66 | |
| 8-Aug | 11543.55 | 2367.52 | 1282.83 | 121.78 | 2929.61 | 10569.58 | 2700.02 | |
| 8-Jul | 11378.02 | 2325.55 | 1267.38 | 127.03 | 2834.06 | 10912.45 | 2814.32 | |
| 8-Jun | 11350.01 | 2292.98 | 1280 | 138.12 | 3182.05 | 11797.14 | 3059.82 | |
| 8-May | 12638.32 | 2522.66 | 1400.38 | 132.27 | 3304.82 | 12020.49 | 2886.28 | |
| 8-Apr | 12820.13 | 2412.80 | 1385.59 | 124.23 | 2970.75 | 11561.18 | 2996.44 | |
| 8-Mar | 12262.89 | 2279.10 | 1322.7 | 125.67 | 3029.8 | 11534.82 | 2757.18 | |
| 8-Feb | 12266.39 | 2271.48 | 1330.63 | 127.03 | 3094.02 | 11869.34 | 2721.47 | |
| 8-Jan | 12650.36 | 2389.86 | 1378.55 | 137.03 | 3566.91 | 12853.11 | 2706.25 | |
| 7-Dec | 13264.82 | 2652.28 | 1468.36 | 141.48 | 3680.01 | 13202.62 | 2744.68 | |
| 7-Nov | 13371.72 | 2660.96 | 1481.14 | 146.86 | 4059.75 | 13710.23 | 2887.75 | |
| 7-Oct | 13930.01 | 2859.12 | 1549.38 | 145.66 | 3493.38 | 13292.91 | 2824.73 | |
| 7-Sep | 13895.63 | 2701.50 | 1526.75 | 142.62 | 3066.91 | 12744.42 | 2795.17 | |
| 7-Aug | 13357.74 | 2596.36 | 1473.99 | 142.31 | 2868.1 | 12683.95 | 2738.32 | |
| 7-Jul | 13211.99 | 2546.27 | 1455.27 | 148.36 | 2785.83 | 13271.05 | 2918.1 | |
| 7-Jun | 13408.62 | 2603.23 | 1503.35 | 147.16 | 2638.3 | 13213.43 | 2979.65 | |
| 7-May | 13627.64 | 2604.52 | 1530.62 | 144.26 | 2597.52 | 12833.75 | 2650.22 | |
| 7-Apr | 13062.91 | 2525.09 | 1482.37 | 144.55 | 2534.49 | 12491.48 | 2643.28 | |
| 7-Mar | 12354.35 | 2421.64 | 1420.86 | 148.38 | 2476.25 | 11972.75 | 2381.06 | |
| 7-Feb | 12268.63 | 2416.15 | 1406.82 | 145.38 | 2617.79 | 12379.44 | 2533.66 | |
| 7-Jan | 12621.69 | 2463.93 | 1438.24 | 144.57 | 2567.06 | 12175.05 | 2442.83 | |
| 6-Dec | 12463.15 | 2415.29 | 1418.3 | 141.71 | 2403.98 | 11926.86 | 2268.27 | |
| 6-Nov | 12221.93 | 2431.77 | 1400.63 | 139.99 | 2372.8 | 11727.62 | 2145.5 | |
| 6-Oct | 12080.73 | 2366.71 | 1377.94 | 138.07 | 2251.33 | 11229.61 | 1969.79 | |
| 6-Sep | 11679.07 | 2258.43 | 1335.85 | 137.52 | 2240.08 | 11323.31 | 1942.88 | |
| 6-Aug | 11381.15 | 2183.75 | 1303.82 | 134.09 | 2175.71 | 10981.88 | 1810.7 | |
| 6-Jul | 11185.68 | 2091.47 | 1276.66 | 135.75 | 2101.99 | 10851.78 | 1804.9 | |
| 6-Jun | 11150.22 | 2172.09 | 1270.2 | 137.92 | 2016.67 | 10740.7 | 1699.2 | |
| 6-May | 11168.31 | 2178.88 | 1270.09 | 149.8 | 2148.93 | 11033.48 | 1870.23 | |
| 6-Apr | 11367.14 | 2322.57 | 1310.61 | 146.92 | 2070.09 | 10464.16 | 1805.45 | |
| 6-Mar | 11109.32 | 2339.79 | 1294.87 | 137.66 | 2039.02 | 10244.06 | 1820.84 | |
| 6-Feb | 10993.41 | 2281.39 | 1280.66 | 139.92 | 2029.29 | 10324.87 | 1837.52 | |
| 6-Jan | 10864.86 | 2305.82 | 1280.08 | 136.5 | 1918.66 | 9646 | 1685.12 | |
| 5-Dec | 10717.50 | 2205.32 | 1248.29 | 125.61 | 1942.99 | 9490.98 | 1627.2 | |
| 5-Nov | 10805.87 | 2232.82 | 1249.48 | 118.87 | 1879.79 | 9413.49 | 1479.4 | |
| 5-Oct | 10440.07 | 2120.30 | 1207.01 | 118.36 | 1984.42 | 9652.19 | 1490.35 | |
| 5-Sep | 10568.70 | 2151.69 | 1228.81 | 113.63 | 1949.17 | 9746.37 | 1353.07 | |
| 5-Aug | 10481.60 | 2152.09 | 1220.33 | 106.54 | 1927.06 | 9366.65 | 1376.06 | |
| 5-Jul | 10640.91 | 2184.83 | 1234.18 | 104.15 | 1827.1 | 9142.46 | 1259.04 | |
| 5-Jun | 10274.97 | 2056.96 | 1191.33 | 104.66 | 1782.11 | 9098.04 | 1211.94 | |
| 5-May | 10467.48 | 2068.22 | 1191.5 | 104.65 | 1783.94 | 9089.81 | 1127.03 | |
| 5-Apr | 10192.51 | 1921.65 | 1156.85 | 109.24 | 1729.81 | 9281.12 | 1140.06 | |
| 5-Mar | 10503.76 | 1999.23 | 1180.59 | 112.78 | 1802.76 | 9600.89 | 1243.08 | |
| 5-Feb | 10766.23 | 2051.72 | 1203.6 | 109.39 | 1740.82 | 9221.95 | 1193.78 | |
| 5-Jan | 10489.94 | 2062.41 | 1181.27 | 111.68 | 1830.55 | 9162.32 | 1164.34 | |
| 4-Dec | 10783.01 | 2175.44 | 1211.92 | 104.79 | 1821.7 | 9130.15 | 1094.63 | |
| 4-Nov | 10428.02 | 2096.81 | 1173.82 | 100.91 | 1683.15 | 8568.45 | 1007.95 | |
| 4-Oct | 10027.47 | 1974.99 | 1130.2 | 99.49 | 1682.63 | 8369.66 | 975.11 | |
| 4-Sep | 10080.27 | 1896.84 | 1114.58 | 101.64 | 1669.73 | 8074.64 | 906.4 | |
| 4-Aug | 10173.92 | 1838.10 | 1104.24 | 101.27 | 1564.33 | 8065.1 | 890.57 | |
| 4-Jul | 10139.71 | 1887.36 | 1101.72 | 109.97 | 1575.17 | 8032.19 | 894.2 | |
| 4-Jun | 10435.48 | 2047.79 | 1140.84 | 102.77 | 1552.7 | 8126.01 | 875.08 | |
| 4-May | 10188.45 | 1986.74 | 1120.68 | 106.54 | 1532.17 | 7967.62 | 891.59 | |
| 4-Apr | 10225.57 | 1920.15 | 1107.3 | 112.69 | 1627.42 | 8192.45 | 950.59 | |
| 4-Mar | 10357.70 | 1994.22 | 1126.21 | 103.45 | 1788.16 | 8479.88 | 924.09 | |
| 4-Feb | 10583.92 | 2029.82 | 1144.94 | 102.15 | 1671.89 | 7969.92 | 880.17 | |
| 4-Jan | 10488.07 | 2066.15 | 1131.13 | 99.62 | 1619.86 | 8014.26 | 782.69 | |
| 9-Feb | 8270.87 | 1591.56 | 869.89 | 87.63 | 1658.5 | 5774.95 | 1351.73 |
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