WOMEN'S NATIONAL TRACK RECORDS BY COUNTRY - YOUR NAME 1 SEVEN FIELD EVENTS Data from the IAAF/ATFS Track and Field Statistics handbook for the 1984 Los Angeles Olympics: Obs country m100 m200 m400 m800 m1500 m3000 Marathon 1 Argentina 11.61 22.94 54.50 2.15 4.43 9.79 178.52 2 Australia 11.20 22.35 51.08 1.98 4.13 9.08 152.37 3 Austria 11.43 23.09 50.62 1.99 4.22 9.34 159.37 4 Belgium 11.41 23.04 52.00 2.00 4.14 8.88 157.85 5 Bermuda 11.46 23.05 53.30 2.16 4.58 9.81 169.98 6 Brazil 11.31 23.17 52.80 2.10 4.49 9.77 168.75 7 Burma 12.14 24.47 55.00 2.18 4.45 9.51 191.02 8 Canada 11.00 22.25 50.06 2.00 4.06 8.81 149.45 9 Chile 12.00 24.52 54.90 2.05 4.23 9.37 171.38 10 China 11.95 24.41 54.97 2.08 4.33 9.31 168.48 11 Columbia 11.60 24.00 53.26 2.11 4.35 9.46 165.42 12 CookIs 12.90 27.10 60.40 2.30 4.84 11.10 233.22 13 Costa 11.96 24.60 58.25 2.21 4.68 10.43 171.80 14 Czech 11.09 21.97 47.99 1.89 4.14 8.92 158.85 15 Denmark 11.42 23.52 53.60 2.03 4.18 8.71 151.75 16 Domrep 11.79 24.05 56.05 2.24 4.74 9.89 203.88 17 Finland 11.13 22.39 50.14 2.03 4.10 8.92 154.23 18 France 11.15 22.59 51.73 2.00 4.14 8.98 155.27 19 GDR 10.81 21.71 48.16 1.93 3.96 8.75 157.68 20 FRG 11.01 22.39 49.75 1.95 4.03 8.59 148.53 21 Gbni 11.00 22.13 50.46 1.98 4.03 8.62 149.72 22 Greece 11.79 24.08 54.93 2.07 4.35 9.87 182.20 23 Guatemala 11.84 24.54 56.09 2.28 4.86 10.54 215.08 24 Hungary 11.45 23.06 51.50 2.01 4.14 8.98 156.37 25 India 11.95 24.28 53.60 2.10 4.32 9.98 188.03 26 Indonesia 11.85 24.24 55.34 2.22 4.61 10.02 201.28 27 Ireland 11.43 23.51 53.24 2.05 4.11 8.89 149.38 28 Israel 11.45 23.57 54.90 2.10 4.25 9.37 160.48 29 Italy 11.29 23.00 52.01 1.96 3.98 8.63 151.82 30 Japan 11.73 24.00 53.73 2.09 4.35 9.20 150.50 31 Kenya 11.73 23.88 52.70 2.00 4.15 9.20 181.05 32 Korea 11.96 24.49 55.70 2.15 4.42 9.62 164.65 33 DprKorea 12.25 25.78 51.20 1.97 4.25 9.35 179.17 34 Luxembourg 12.03 24.96 56.10 2.07 4.38 9.64 174.68 35 Malaysia 12.23 24.21 55.09 2.19 4.69 10.46 182.17 36 Mauritius 11.76 25.08 58.10 2.27 4.79 10.90 261.13 37 Mexico 11.89 23.62 53.76 2.04 4.25 9.59 158.53 38 Netherlands 11.25 22.81 52.38 1.99 4.06 9.01 152.48 39 NewZealand 11.55 23.13 51.60 2.02 4.18 8.76 145.48 40 Norway 11.58 23.31 53.12 2.03 4.01 8.53 145.48 41 PNG 12.25 25.07 56.96 2.24 4.84 10.69 233.00 42 Philippines 11.76 23.54 54.60 2.19 4.60 10.16 200.37 43 Poland 11.13 22.21 49.29 1.95 3.99 8.97 160.82 44 Portugal 11.81 24.22 54.30 2.09 4.16 8.84 151.20 45 Rumania 11.44 23.46 51.20 1.92 3.96 8.53 165.45 46 Singapore 12.30 25.00 55.08 2.12 4.52 9.94 182.77 47 Spain 11.80 23.98 53.59 2.05 4.14 9.02 162.60 48 Sweden 11.16 22.82 51.79 2.02 4.12 8.84 154.48 49 Switzerland 11.45 23.31 53.11 2.02 4.07 8.77 153.42 50 Taipei 11.22 22.62 52.50 2.10 4.38 9.63 177.87 51 Thailand 11.75 24.46 55.80 2.20 4.72 10.28 168.45 52 Turkey 11.98 24.44 56.45 2.15 4.37 9.38 201.08 53 USA 10.79 21.83 50.62 1.96 3.95 8.50 142.72 54 USSR 11.06 22.19 49.19 1.89 3.87 8.45 151.22 55 WSamoa 12.74 25.85 58.73 2.33 5.81 13.04 306.00 WOMEN'S NATIONAL TRACK RECORDS BY COUNTRY - YOUR NAME 2 SEVEN FIELD EVENTS PRINCIPAL COMPONENTS ANALYSIS (CORRELATION-BASED) The PRINCOMP Procedure Observations 55 Variables 7 Simple Statistics m100 m200 m400 m800 Mean 11.61854545 23.64163636 53.40581818 2.076363636 StD 0.45221028 1.11106016 2.67833675 0.108224110 Simple Statistics m1500 m3000 Marathon Mean 4.325454545 9.447636364 173.2532727 StD 0.332425532 0.824335790 30.4295449 Correlation Matrix m100 m200 m400 m800 m1500 m3000 Marathon m100 1.0000 0.9528 0.8347 0.7277 0.7284 0.7417 0.6863 m200 0.9528 1.0000 0.8570 0.7241 0.6984 0.7099 0.6856 m400 0.8347 0.8570 1.0000 0.8984 0.7878 0.7776 0.7054 m800 0.7277 0.7241 0.8984 1.0000 0.9016 0.8636 0.7793 m1500 0.7284 0.6984 0.7878 0.9016 1.0000 0.9692 0.8779 m3000 0.7417 0.7099 0.7776 0.8636 0.9692 1.0000 0.8998 Marathon 0.6863 0.6856 0.7054 0.7793 0.8779 0.8998 1.0000 Eigenvalues of the Correlation Matrix Eigenvalue Difference Proportion Cumulative 1 5.80568576 5.15204024 0.8294 0.8294 2 0.65364552 0.35376309 0.0934 0.9228 3 0.29988243 0.17440494 0.0428 0.9656 4 0.12547749 0.07166058 0.0179 0.9835 5 0.05381692 0.01476763 0.0077 0.9912 6 0.03904928 0.01660668 0.0056 0.9968 7 0.02244260 0.0032 1.0000 WOMEN'S NATIONAL TRACK RECORDS BY COUNTRY - YOUR NAME 3 SEVEN FIELD EVENTS PRINCIPAL COMPONENTS ANALYSIS (CORRELATION-BASED) The PRINCOMP Procedure Eigenvectors Prin1 Prin2 Prin3 Prin4 m100 0.368356 0.490060 0.286012 -.319386 m200 0.365364 0.536580 0.229819 0.083302 m400 0.381610 0.246538 -.515367 0.347377 m800 0.384559 -.155402 -.584526 0.042076 m1500 0.389104 -.360409 -.012912 -.429539 m3000 0.388866 -.347539 0.152728 -.363120 Marathon 0.367004 -.369208 0.484370 0.672497 Eigenvectors Prin5 Prin6 Prin7 m100 0.231169 0.619825 0.052177 m200 0.041455 -.710765 -.109225 m400 -.572178 0.190946 0.208497 m800 0.620324 -.019089 -.315210 m1500 0.030261 -.231248 0.692562 m3000 -.463355 0.009277 -.598359 Marathon 0.130536 0.142281 0.069598 WOMEN'S NATIONAL TRACK RECORDS BY COUNTRY - YOUR NAME 4 SEVEN FIELD EVENTS PRINCIPAL COMPONENTS ANALYSIS (CORRELATION-BASED) CORRELATION DATA: PRIN2*PRIN1 Plot of Prin2*Prin1. Symbol is value of country. Prin2 ‚ 2 ˆ ‚ D ‚ P C L C ‚ R N S J C K S ‚ I NSD K M GI TB C 0 ˆ NB I C T M ‚ U F AS A I P ‚ U C F B A P D G ‚ G C T M ‚ -2 ˆ ‚ W ‚ ‚ ‚ -4 ˆ Šƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒ -4 -2 0 2 4 6 8 10 Prin1 NOTE: 6 obs hidden. WOMEN'S NATIONAL TRACK RECORDS BY COUNTRY - YOUR NAME 5 SEVEN FIELD EVENTS PRINCIPAL COMPONENTS ANALYSIS (CORRELATION-BASED) ASCENDING SORT BY PRIN1 M c a o r u P P m m a n r r m m m m 1 3 t O t i i 1 2 4 8 5 0 h b r n n 0 0 0 0 0 0 o s y 1 2 0 0 0 0 0 0 n 1 GDR -3.50602 -1.20250 10.81 21.71 48.16 1.93 3.96 8.75 157.68 2 USSR -3.46469 -0.24508 11.06 22.19 49.19 1.89 3.87 8.45 151.22 3 USA -3.33581 -0.68510 10.79 21.83 50.62 1.96 3.95 8.50 142.72 4 Czech -3.05380 -1.01273 11.09 21.97 47.99 1.89 4.14 8.92 158.85 5 FRG -2.92578 -0.43714 11.01 22.39 49.75 1.95 4.03 8.59 148.53 6 Gbni -2.78316 -0.57835 11.00 22.13 50.46 1.98 4.03 8.62 149.72 7 Poland -2.67210 -0.70232 11.13 22.21 49.29 1.95 3.99 8.97 160.82 8 Canada -2.60813 -0.69529 11.00 22.25 50.06 2.00 4.06 8.81 149.45 9 Finland -2.18184 -0.67025 11.13 22.39 50.14 2.03 4.10 8.92 154.23 10 Italy -2.13954 0.35199 11.29 23.00 52.01 1.96 3.98 8.63 151.82 11 Australia -2.09355 -0.53280 11.20 22.35 51.08 1.98 4.13 9.08 152.37 12 Rumania -2.02983 0.61805 11.44 23.46 51.20 1.92 3.96 8.53 165.45 13 France -1.89217 -0.44383 11.15 22.59 51.73 2.00 4.14 8.98 155.27 14 Sweden -1.82775 -0.25482 11.16 22.82 51.79 2.02 4.12 8.84 154.48 15 Netherlands -1.79443 -0.04709 11.25 22.81 52.38 1.99 4.06 9.01 152.48 16 NewZealand -1.51126 0.37792 11.55 23.13 51.60 2.02 4.18 8.76 145.48 17 Belgium -1.50999 0.09096 11.41 23.04 52.00 2.00 4.14 8.88 157.85 18 Norway -1.48301 0.90420 11.58 23.31 53.12 2.03 4.01 8.53 145.48 19 Hungary -1.47721 0.05938 11.45 23.06 51.50 2.01 4.14 8.98 156.37 20 Austria -1.38044 -0.27500 11.43 23.09 50.62 1.99 4.22 9.34 159.37 21 Switzerland -1.34665 0.51418 11.45 23.31 53.11 2.02 4.07 8.77 153.42 22 Ireland -1.11735 0.51304 11.43 23.51 53.24 2.05 4.11 8.89 149.38 23 Denmark -1.11638 0.54013 11.42 23.52 53.60 2.03 4.18 8.71 151.75 24 Taipei -0.50012 -1.23465 11.22 22.62 52.50 2.10 4.38 9.63 177.87 25 Kenya -0.43089 0.48061 11.73 23.88 52.70 2.00 4.15 9.20 181.05 26 Spain -0.35565 0.92548 11.80 23.98 53.59 2.05 4.14 9.02 162.60 27 Portugal -0.22428 1.25266 11.81 24.22 54.30 2.09 4.16 8.84 151.20 28 Israel -0.14297 0.15587 11.45 23.57 54.90 2.10 4.25 9.37 160.48 29 Brazil -0.11840 -0.91152 11.31 23.17 52.80 2.10 4.49 9.77 168.75 30 Mexico -0.06348 0.56897 11.89 23.62 53.76 2.04 4.25 9.59 158.53 31 Japan -0.05923 0.65797 11.73 24.00 53.73 2.09 4.35 9.20 150.50 32 Columbia 0.14157 0.15447 11.60 24.00 53.26 2.11 4.35 9.46 165.42 33 Bermuda 0.38782 -0.97641 11.46 23.05 53.30 2.16 4.58 9.81 169.98 34 DprKorea 0.46230 1.71789 12.25 25.78 51.20 1.97 4.25 9.35 179.17 35 Argentina 0.52726 -0.67472 11.61 22.94 54.50 2.15 4.43 9.79 178.52 36 Chile 0.54783 1.17193 12.00 24.52 54.90 2.05 4.23 9.37 171.38 37 China 0.64127 0.98005 11.95 24.41 54.97 2.08 4.33 9.31 168.48 38 Greece 0.81425 0.23371 11.79 24.08 54.93 2.07 4.35 9.87 182.20 39 India 1.01454 0.25361 11.95 24.28 53.60 2.10 4.32 9.98 188.03 40 Korea 1.23386 0.81440 11.96 24.49 55.70 2.15 4.42 9.62 164.65 41 Luxembourg 1.30174 1.18217 12.03 24.96 56.10 2.07 4.38 9.64 174.68 42 Turkey 1.60820 0.59434 11.98 24.44 56.45 2.15 4.37 9.38 201.08 43 Philippines 1.64019 -0.87604 11.76 23.54 54.60 2.19 4.60 10.16 200.37 44 Burma 1.68204 0.58619 12.14 24.47 55.00 2.18 4.45 9.51 191.02 45 Thailand 1.95318 -0.13987 11.75 24.46 55.80 2.20 4.72 10.28 168.45 46 Singapore 1.97013 0.95198 12.30 25.00 55.08 2.12 4.52 9.94 182.77 WOMEN'S NATIONAL TRACK RECORDS BY COUNTRY - YOUR NAME 6 SEVEN FIELD EVENTS PRINCIPAL COMPONENTS ANALYSIS (CORRELATION-BASED) ASCENDING SORT BY PRIN1 Obs country Prin1 Prin2 m100 m200 m400 m800 m1500 m3000 Marathon 47 Indonesia 2.11236 -0.37827 11.85 24.24 55.34 2.22 4.61 10.02 201.28 48 Domrep 2.29544 -0.61610 11.79 24.05 56.05 2.24 4.74 9.89 203.88 49 Malaysia 2.34054 -0.00126 12.23 24.21 55.09 2.19 4.69 10.46 182.17 50 Costa 2.61923 0.30596 11.96 24.60 58.25 2.21 4.68 10.43 171.80 51 Guatemala 3.22730 -0.91906 11.84 24.54 56.09 2.28 4.86 10.54 215.08 52 PNG 3.98086 -0.34024 12.25 25.07 56.96 2.24 4.84 10.69 233.00 53 Mauritius 4.23385 -1.18020 11.76 25.08 58.10 2.27 4.79 10.90 261.13 54 CookIs 6.07728 1.39950 12.90 27.10 60.40 2.30 4.84 11.10 233.22 55 WSamoa 8.33288 -2.32698 12.74 25.85 58.73 2.33 5.81 13.04 306.00 WOMEN'S NATIONAL TRACK RECORDS BY COUNTRY - YOUR NAME 7 SEVEN FIELD EVENTS GENERATING A SCREE PLOT FROM PROC PRINCOMP OUTPUT PROC PRINCOMP DATA WRITTEN TO `OUTSTAT' Obs _TYPE_ _NAME_ m100 m200 m400 1 MEAN 11.6185 23.6416 53.4058 2 STD 0.4522 1.1111 2.6783 3 N 55.0000 55.0000 55.0000 4 CORR m100 1.0000 0.9528 0.8347 5 CORR m200 0.9528 1.0000 0.8570 6 CORR m400 0.8347 0.8570 1.0000 7 CORR m800 0.7277 0.7241 0.8984 8 CORR m1500 0.7284 0.6984 0.7878 9 CORR m3000 0.7417 0.7099 0.7776 10 CORR Marathon 0.6863 0.6856 0.7054 11 EIGENVAL 5.8057 0.6536 0.2999 12 SCORE Prin1 0.3684 0.3654 0.3816 13 SCORE Prin2 0.4901 0.5366 0.2465 14 SCORE Prin3 0.2860 0.2298 -0.5154 15 SCORE Prin4 -0.3194 0.0833 0.3474 16 SCORE Prin5 0.2312 0.0415 -0.5722 17 SCORE Prin6 0.6198 -0.7108 0.1909 18 SCORE Prin7 0.0522 -0.1092 0.2085 Obs m800 m1500 m3000 Marathon 1 2.0764 4.3255 9.4476 173.253 2 0.1082 0.3324 0.8243 30.430 3 55.0000 55.0000 55.0000 55.000 4 0.7277 0.7284 0.7417 0.686 5 0.7241 0.6984 0.7099 0.686 6 0.8984 0.7878 0.7776 0.705 7 1.0000 0.9016 0.8636 0.779 8 0.9016 1.0000 0.9692 0.878 9 0.8636 0.9692 1.0000 0.900 10 0.7793 0.8779 0.8998 1.000 11 0.1255 0.0538 0.0390 0.022 12 0.3846 0.3891 0.3889 0.367 13 -0.1554 -0.3604 -0.3475 -0.369 14 -0.5845 -0.0129 0.1527 0.484 15 0.0421 -0.4295 -0.3631 0.672 16 0.6203 0.0303 -0.4634 0.131 17 -0.0191 -0.2312 0.0093 0.142 18 -0.3152 0.6926 -0.5984 0.070 WOMEN'S NATIONAL TRACK RECORDS BY COUNTRY - YOUR NAME 8 SEVEN FIELD EVENTS GENERATING A SCREE PLOT FROM PROC PRINCOMP OUTPUT THE EIGENVALUES AS A ROW VECTOR M a _ _ r T N m m a Y A m m m m 1 3 t O P M 1 2 4 8 5 0 h b E E 0 0 0 0 0 0 o s _ _ 0 0 0 0 0 0 n 1 EIGENVAL 5.80569 0.65365 0.29988 0.12548 0.053817 0.039049 0.022443 WOMEN'S NATIONAL TRACK RECORDS BY COUNTRY - YOUR NAME 9 SEVEN FIELD EVENTS GENERATING A SCREE PLOT FROM PROC PRINCOMP OUTPUT TRANSPOSED EIGENVALUE VECTOR AND DATA FOR SCREE PLOT Obs event EIGENVAL xx 1 m100 5.80569 1 2 m200 0.65365 2 3 m400 0.29988 3 4 m800 0.12548 4 5 m1500 0.05382 5 6 m3000 0.03905 6 7 Marathon 0.02244 7 WOMEN'S NATIONAL TRACK RECORDS BY COUNTRY - YOUR NAME 10 SEVEN FIELD EVENTS GENERATING A SCREE PLOT FROM PROC PRINCOMP OUTPUT SCREE PLOT Plot of EIGENVAL*xx. Symbol is value of xx. EIGENVAL ‚ 6 ˆ 1 ‚ ‚ ‚ ‚ 4 ˆ ‚ ‚ ‚ ‚ 2 ˆ ‚ ‚ ‚ 2 ‚ 3 0 ˆ 4 5 6 7 Šƒƒˆƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒƒˆƒƒ 1 2 3 4 5 6 7 xx WOMEN'S NATIONAL TRACK RECORDS BY COUNTRY - YOUR NAME 11 SEVEN FIELD EVENTS PRINCIPAL COMPONENTS USING THE COVARIANCE NOTE THAT OUTPUT IS DOMINATED BY MARATHON TIMES The PRINCOMP Procedure Observations 55 Variables 7 Simple Statistics m100 m200 m400 m800 Mean 11.61854545 23.64163636 53.40581818 2.076363636 StD 0.45221028 1.11106016 2.67833675 0.108224110 Simple Statistics m1500 m3000 Marathon Mean 4.325454545 9.447636364 173.2532727 StD 0.332425532 0.824335790 30.4295449 Covariance Matrix m100 m200 m400 m800 m100 0.2044941 0.4787135 1.0109549 0.0356131 m200 0.4787135 1.2344547 2.5501422 0.0870635 m400 1.0109549 2.5501422 7.1734877 0.2604123 m800 0.0356131 0.0870635 0.2604123 0.0117125 m1500 0.1094933 0.2579372 0.7014529 0.0324369 m3000 0.2764854 0.6501613 1.7169047 0.0770412 Marathon 9.4443604 23.1786260 57.4924621 2.5663732 Covariance Matrix m1500 m3000 Marathon m100 0.1094933 0.2764854 9.4443604 m200 0.2579372 0.6501613 23.1786260 m400 0.7014529 1.7169047 57.4924621 m800 0.0324369 0.0770412 2.5663732 m1500 0.1105067 0.2655816 8.8807855 m3000 0.2655816 0.6795295 22.5716671 Marathon 8.8807855 22.5716671 925.9572039 Total Variance 935.37138916 WOMEN'S NATIONAL TRACK RECORDS BY COUNTRY - YOUR NAME 12 SEVEN FIELD EVENTS PRINCIPAL COMPONENTS USING THE COVARIANCE NOTE THAT OUTPUT IS DOMINATED BY MARATHON TIMES The PRINCOMP Procedure Eigenvalues of the Covariance Matrix Eigenvalue Difference Proportion Cumulative 1 930.865778 926.815068 0.9952 0.9952 2 4.050710 3.732028 0.0043 0.9995 3 0.318682 0.203468 0.0003 0.9999 4 0.115214 0.100924 0.0001 1.0000 5 0.014290 0.008433 0.0000 1.0000 6 0.005857 0.005000 0.0000 1.0000 7 0.000857 0.0000 1.0000 Eigenvectors Prin1 Prin2 Prin3 Prin4 m100 0.010210 0.120418 0.326096 0.150066 m200 0.025063 0.314711 0.879886 0.013991 m400 0.062211 0.934172 -.327607 -.121781 m800 0.002772 0.025565 -.037115 0.048685 m1500 0.009578 0.038551 -.055357 0.339733 m3000 0.024340 0.082216 -.087692 0.918837 Marathon 0.997349 -.069859 -.002240 -.020113 Eigenvectors Prin5 Prin6 Prin7 m100 0.925339 -.001656 0.016781 m200 -.353756 0.025278 0.012338 m400 0.013367 -.021835 -.025309 m800 -.015164 0.261819 0.962711 m1500 -.034288 0.899065 -.265416 m3000 -.130442 -.349305 0.040842 Marathon 0.002138 -.000094 -.000027