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Please run a muliple regression in EXCEL.

The Column for x3 (still called X3), but the values in that
column are the Square root of teh given column for x3.

your fourth column of the new data set (called x6) is the ratio
of the values in column for x4 divided be the values in column x5.
No columns for x4 and x5 in the new data set. Your model has only 4
independent variables as you see.

Now that this new data set is created, Copy the whole data set
to a new Excel file and paste it there. But for pasting you have a
few options, use the option that says 123. This way the new data
set does not have any formula embeded in any cell.

Price y 132500 181115 109000 155000 86060 120000 153000 170000 90000 122900 325000 120000 85860 97000 127000 89900 155000 253750 60000 87500 112000 104900 148635 150000 90400 248800 135000 145000 457000 140000 130000 187000 229000 227000 179900 169900 209900 169900 293000 245900 157000 195000 150000 234900 279550 246500 124000 138000 290000 108000 134900 64500 142000 125000 88000 135000 90000 90100 126900 175000 158000 92000 82800 140000 171000 200640 139000 225000 182000 208767 186000 93000 257386 161000 92000 211002 115000 113000 216300 145000 114000 139050 104000 169900 177900 133000 185000 115000 100000 117000 150000 187500 107000 126900 147000 62000 101000 143500 113400 76320 110000 88000 108000 114900 146000 225000 138000 218070 25000 112000 112500 97000 121000 65720 225000 192000 158500 247000 193777 136500 75000 45000 243000 90000 158000 174000 150000 159650 139062 84950 102000 175000 78500 232478 93805 119900 146000 125000 135000 157500 135000 142900 259900 85000 180377 163500 106500 115000 115000 135000 198900 139000 206000 120000 205980 275000 139000 89900 139900 172750 136000 270000 174000 379000 382500 144900 349900 133000 115000 211950 227812 164400 340000 139900 279900 225000 144500 362710 247000 120000 136000 228500 162800 230000 115800 175000 263008 146000 204900 265000 167500 205000 170000 176000 132000 115500 150000 120000 125000 150000 Lot.Size x1 0.09 0.92 0.19 0.41 0.11 0.68 0.4 1.21 0.83 1.94 2.29 0.92 8.97 0.11 0.14 0 0.13 2 0.21 0.88 1 0.43 0.32 0.03 0.36 4 1.83 3 0.43 0.44 1.24 0.46 0.87 1.8 0.46 0.91 0.46 0.59 7.24 0.19 0.46 0.41 0.78 0.89 1.34 1 1 0.27 0.71 0.9 0.24 0.06 0.55 0.34 0.19 0.23 0.07 0.09 0.25 0.47 0.36 0.07 0.11 0.23 3.16 0.08 0.57 0.5 1 0.5 0.55 0.1 0.5 0.31 0.28 0.06 0.06 0.46 0.1 2.12 0.06 0.21 0.06 0.26 0.29 1.29 1 0.88 0.52 0.07 0.32 0.92 0.46 0.46 0.11 0.4 0.87 0.59 0.93 0.15 0.59 0.33 0.32 0.46 0.48 2.37 0.83 1 0.21 0.27 0.72 0.36 0.52 0.19 0.38 0.82 0.69 0.51 0.72 0.62 1 0.52 0.82 0.29 0.52 0.64 0.52 1 0.69 0.13 0.22 0.46 1 1 0.13 1.03 1.17 0.34 0.38 1.96 3 0.33 0.46 0.29 0.35 0.28 0.52 0.11 0.14 0.14 0.47 0.14 0.51 0.21 0.14 0.55 0.07 0.49 0.07 0.36 0.5 0.48 0.29 0.68 4.08 0.1 0.62 0.07 0.16 0.36 0.01 0.34 0.75 0.29 0.47 0.32 0.12 1 0.46 0.18 0.55 0.46 0.15 0.93 0.46 0.26 0.63 0.5 0.03 0.17 0.64 0.47 0.92 0.41 0.16 0.01 0.29 0.36 0.28 0.15 Age x2 0 0 133 13 0 31 33 23 36 4 123 1 13 153 9 88 9 0 82 17 12 21 1 24 16 28 126 26 53 56 51 3 9 201 1 19 1 0 43 0 45 32 54 9 0 0 98 54 73 48 10 16 20 32 15 135 14 15 10 15 10 14 225 25 15 0 30 12 16 0 0 14 0 10 18 0 14 53 0 32 14 125 14 11 2 14 0 16 91 15 11 11 25 26 15 103 30 13 18 68 10 49 30 41 2 8 16 0 75 36 43 45 6 123 10 0 6 16 11 12 45 75 12 83 0 9 12 3 33 0 10 15 153 0 0 63 33 44 48 29 178 32 1 16 1 21 53 16 16 15 7 16 15 15 1 14 12 83 13 1 37 10 14 9 13 14 7 16 15 1 0 1 12 15 6 0 15 0 13 16 33 9 10 48 23 16 0 35 10 9 37 6 53 35 15 17 93 103 16 14 Land Value x3 50000 22300 7300 18700 15000 14000 23300 14600 22200 21200 12600 22300 4800 3100 300 2500 300 49800 8500 19400 8600 5600 6200 5100 5200 5500 6000 4500 2700 19400 24800 15200 41100 25500 15200 20200 15200 17300 36600 20700 20200 27100 24500 41600 44400 17100 15500 8900 61000 19000 8000 1600 13800 11100 3400 8100 1800 2400 8400 27200 12100 1800 3900 8300 24100 32000 7500 15300 26600 32000 4400 2600 32000 10400 6300 32000 1600 9200 32000 19000 1600 7300 1600 8700 25000 10300 4000 10000 5000 18900 19400 20600 18700 18700 18900 10500 8700 19900 4500 2000 3100 3400 6500 5000 3000 3300 3700 3500 900 3800 4600 3600 2500 2100 6600 5000 3400 6000 3200 5400 8000 3900 3700 3900 4400 3000 4500 5200 6500 15000 7300 23400 27300 15900 15000 41500 41800 19000 21300 39700 44500 22500 36600 22100 37000 28400 20300 20700 21000 19600 25500 19600 39600 28800 45200 72000 24500 11900 24500 37100 19800 37800 31100 57200 75500 26000 57800 20300 22400 29200 37200 36200 82500 35200 20000 53900 16800 24300 36600 21400 14900 45800 28500 23500 19700 30100 24400 28000 35800 40500 16400 25500 29000 26200 22400 9900 9200 32200 22000 21000 Living Area x4 906 1953 1944 1944 840 1152 2752 1662 1632 1416 2894 1624 704 1383 1300 936 1300 2816 924 1092 1056 1600 1576 2080 1600 2224 1656 1170 2461 1544 1220 1858 2219 1876 2026 1671 2060 1884 2022 2394 1390 1954 1554 1976 2479 2714 797 1500 1838 1042 1782 1480 1426 1404 1480 1344 1480 1480 1596 1768 1348 1480 1483 1576 1008 2332 1064 2428 1310 1662 2000 1480 2969 1542 1527 2195 1480 1452 2360 1440 1480 1879 1480 1792 1386 1676 768 1560 1000 1676 1656 2300 1712 1350 1676 1317 1056 912 1232 1380 936 720 1628 1144 1827 1784 1851 2194 920 1280 1232 1406 1164 1198 2206 1880 1368 1901 1547 896 1008 912 2443 900 2098 2115 1344 1106 1440 840 1170 1664 3024 2598 840 1701 1456 1224 1411 1608 3020 1898 2544 1038 1820 2202 2387 1368 1480 1348 1889 1343 2011 1180 1983 2253 1604 1196 1602 1747 1092 2410 1933 3080 4534 1677 2900 1392 1058 2342 2206 1516 2836 1256 2340 2129 1343 2963 2114 1144 988 1475 1247 1912 1440 1596 2665 1984 1616 1917 2592 1845 1360 1664 1098 1214 1046 1144 1140 1232 Bedrooms x5 2 3 4 3 2 4 4 4 3 3 7 3 2 3 3 3 3 4 2 3 3 3 3 3 3 4 3 4 4 3 2 3 3 3 4 4 4 4 4 4 3 4 3 3 4 4 2 3 4 2 3 2 3 3 3 3 2 3 3 3 2 3 3 4 2 4 3 4 3 3 4 3 4 3 4 4 3 3 4 3 2 3 3 3 3 2 4 3 3 4 3 3 3 3 3 3 3 3 2 3 3 3 2 3 3 3 3 4 2 3 3 3 3 3 4 3 3 3 3 3 3 2 3 4 3 4 2 3 3 2 2 4 4 4 2 5 3 3 3 3 4 3 4 2 3 3 3 2 2 2 4 2 3 2 3 3 2 3 2 3 3 4 3 4 6 3 4 2 2 4 4 3 4 2 4 4 2 4 4 2 3 3 3 5 3 3 4 3 3 3 3 3 4 3 2 2 3 3 2 2

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