Statistics
(Please submit answers (in .PDF format) and code (in .R le format) to Canvas by Tuesday
September 9th, 1:00pm)
Students should do these questions using the R software.
1. Load in the attached houses.txt” dataset (it’s tab-delimited) and nd the mean of th
square footage variable SQFT.
2. Find the average square footage for houses in the northeast part of the city, and for house
not in the northeast part of the city (the variableNEindicates whether a house is in th
northeast or not).
3. Produce a histogram of thePRICEvariable.
4. Make a scatterplot comparing square footage (horizontal axis) to price (vertical axis).
5. Create a vector that contains all the elements of theSQFTvariable minus the mean ofSQF
(in other words, de-meanSQFT).
6. Create a vector that contains the elements of the vector created in the previous question
squared.
7. EXTRA CREDIT: Reproduce the scatterplot from Q4, but color the datapoints red if they
are in the northeast and blue if they are not in the northeast (You can use Google to nd
out how to do this!).
PRICE SQFT AGE FEATS NE CUST COR TAX
2050 2650 13 7 1 1 0 1639
2080 2600 * 4 1 1 0 1088
2150 2664 6 5 1 1 0 1193
2150 2921 3 6 1 1 0 1635
1999 2580 4 4 1 1 0 1732
1900 2580 4 4 1 0 0 1534
1800 2774 2 4 1 0 0 1765
1560 1920 1 5 1 1 0 1161
1450 2150 * 4 1 0 0 *
1449 1710 1 3 1 1 0 1010
1375 1837 4 5 1 0 0 1191
1270 1880 8 6 1 0 0 930
1250 2150 15 3 1 0 0 984
1235 1894 14 5 1 1 0 1112
1170 1928 18 8 1 1 0 600
1180 1830 * 3 1 0 0 733
1155 1767 16 4 1 0 0 794
1110 1630 15 3 1 0 1 867
1139 1680 17 4 1 0 1 750
995 1725 * 3 1 0 0 923
995 1500 15 4 1 0 0 743
975 1430 * 3 1 0 0 752
975 1360 * 4 1 0 0 696
900 1400 16 2 1 0 1 731
960 1573 17 6 1 0 0 768
860 1385 * 2 1 0 0 653
1695 2931 28 3 1 0 1 1142
1553 2200 28 4 1 0 0 1035
1250 2277 * 4 1 1 0 *
1300 2000 * 3 1 1 0 1076
1020 1478 53 3 1 0 1 626
1020 1713 30 4 1 0 1 600
922 1326 * 4 1 0 0 668
925 1050 * 2 1 0 1 553
899 1464 * 2 1 1 0 566
850 1190 41 1 1 0 0 600
876 1156 * 1 1 0 0 *
890 1746 * 2 1 0 0 591
870 1280 * 1 1 0 0 599
700 1215 * 3 1 0 0 477
720 1121 46 4 1 0 0 398
720 1050 * 1 1 0 0 *
749 1733 43 6 1 0 0 656
731 1299 * 6 1 0 0 585
725 1140 * 3 1 0 1 490
670 1181 * 4 1 0 0 440
2150 2848 4 6 1 1 0 1487
1599 2440 * 5 1 1 0 1265
1350 2253 23 4 1 1 0 939
1299 2743 25 5 1 1 1 1232
1250 2180 17 4 1 0 1 1141
1239 1706 14 4 1 0 0 810
1200 1948 * 4 1 0 0 899
1125 1710 16 4 1 1 0 800
1100 1657 * 4 1 0 0 865
1080 2200 26 4 1 0 0 1076
1050 1680 13 4 1 0 0 875
1049 1900 34 3 1 0 0 690
955 1565 * 3 1 1 0 648
934 1543 20 3 1 0 0 820
875 1173 6 4 1 0 0 456
889 1549 * 4 1 0 0 723
855 1900 * 3 1 0 0 780
835 1560 * 5 1 0 1 638
810 1365 * 2 1 0 0 673
805 1258 7 4 1 0 1 821
799 1314 * 2 1 0 0 671
750 1338 * 3 1 0 1 649
759 997 4 4 1 0 0 461
755 1275 * 5 1 0 0 *
750 1030 * 1 1 0 0 486
730 1027 * 3 1 0 0 427
729 1007 19 6 1 0 0 513
710 1083 22 4 1 0 0 504
773 1320 * 5 1 0 0 *
690 1348 15 2 1 1 0 *
670 1350 * 2 1 0 0 622
619 837 * 2 1 0 0 342
1295 3750 * 4 0 1 1 1200
975 1500 7 3 0 1 1 700
939 1428 40 2 0 0 0 701
820 1375 * 1 0 0 0 585
780 1080 * 3 0 1 0 600
770 900 * 3 0 0 0 391
700 1505 * 2 0 0 1 591
620 1480 * 4 0 0 0 *
540 1142 * 0 0 0 0 223
1070 1464 * 2 0 0 0 376
2100 2116 25 3 0 1 0 1209
725 1280 * 3 0 0 0 447
660 1159 * 0 0 0 0 225
600 1198 * 4 0 0 0 *
580 1051 15 2 0 0 0 426
1844 2250 40 6 0 1 0 915
1580 2563 * 2 0 1 0 1189
699 1400 45 1 0 1 1 481
1330 1850 5 5 0 1 1 *
1160 1720 5 4 0 0 0 867
1109 1740 4 3 0 0 0 816
1129 1700 6 4 0 0 0 725
1050 1620 6 4 0 0 0 800
1045 1630 6 4 0 0 0 750
1050 1920 8 4 0 0 0 944
1020 1606 5 4 0 0 0 811
1000 1535 7 5 0 0 1 668
1030 1540 6 2 0 0 1 826
975 1739 13 3 0 0 0 880
950 1715 * 3 0 0 0 900
940 1305 5 3 0 0 0 647
920 1415 7 4 0 0 0 866
945 1580 9 3 0 0 0 810
874 1236 3 4 0 0 0 707
872 1229 6 3 0 0 0 721
870 1273 4 4 0 0 0 638
869 1165 7 4 0 0 0 694
766 1200 7 4 0 0 1 634
739 970 4 4 0 0 1 541
