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7/25/2019 Module 250 Xls 1 Sol
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Pratique des biostatistiques www.fundp.ac.bA propos du
Ralise l!"nal#se en compostantes principales dles rsultats.
Reference$ U.%. Department of &abor %tatistics"ut'oriation$ free useDescription$ Properties of () %tandard *etropolit,ensus ureau desination of t'e reion aroundcollected from a variet# of sources.
1'e data include information on t'e social and e
areas0 on t'eir climate0 and some indices of air pNumber of cases$ ()2ariable Names$3 cit#$ ,it# name4 5an1emp$ *ean 5anuar# temperature +derees7 5ul#1emp$ *ean 5ul# temperature +derees 6ar8 Rel9um$ Relative 9umidit#
: Rain$ "nnual rainfall +inc'es( *ortalit#$ "e ad;usted mortalit#< Education$ *edian education= PopDensit#$ Population densit#> ?Non@'ite$ Percentae of non w'ites3) ?@,$ Percentae of w'ite collar worAers33 pop$ Population
34 pop/'ouse$ Population per 'ouse'old37 income$ *edian income38 9,Pot$ 9, pollution potential3: NBxPot$ Nitrous Bxide pollution potential3( %B4Pot$ %ulfur Dioxide pollution potential
http://webcampus.fundp.ac.be/BIOSTAT/document/docbiostats/Charte_copy.pdfhttp://webcampus.fundp.ac.be/BIOSTAT/document/docbiostats/Charte_copy.pdf7/25/2019 Module 250 Xls 1 Sol
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city Mortality JanTemp JulyTemp RelHum
Akron, OH 921.87 27 71 59Albany-Schenectady-Troy, NY 997.87 23 72 57Allentown, Bethlehem, PA-NJ 92.35 29 7! 5!Atlanta, GA 982.29 !5 79 5Baltimore, MD 1"71.29 35 77 55Birmingham, AL 1"3".38 !5 8" 5!Boston, MA 93!.7 3" 7! 5Bridgeport-Milford, CT 899.53 3" 73 5Buffalo, NY 1""1.9 2! 7" 1Canton, OH 912.35 27 72 59Chattanooga, TN-GA 1"17.1 !2 79 5Chicago, IL 1"2!.89 2 7 58Cincinnati, OH-KY-IN 97".!7 3! 77 57Cleveland, OH 985.95 28 71 "Columbus, OH 958.8! 31 75 58Dallas, TX 8".1 ! 85 5!Dayton-Springfield, OH 93.23 3" 75 58Denver, CO 871.77 3" 73 38Detroit, MI 959.22 27 7! 59Flint, MI 9!1.18 2! 72 1Grand Rapids, MI 871.3! 2! 72 1Greensboro-Winston-Salem-High Point, 971.12 !" 77 53Hartford, CT 887.!7 27 72 5Houston, TX 952.53 55 8! 59Indianapolis, IN 98.7 29 75 "Kansas City, MO 919.73 31 81 55Lancaster, PA 8!!."5 32 7! 5!Los Angeles, Long Beach, CA 81.2 53 8 !7Louisville, KY-IN 989.2 35 71 57
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Memphis, TN-AR-MS 1"".!9 !2 82 59Miami-Hialeah, FL 81.!! 7 82 "Milwaukee, WI 929.15 2" 9 !Minneapolis-St. Paul, MN-WI 857.2 12 73 58Nashville, TN 91."1 !" 8" 5New Haven-Meriden, CT 923.23 3" 72 58New Orleans, LA 1113.1 5! 81 2New York, NY 99!.5 33 77 58Philadelphia, PA-NJ 1"15."2 32 7 5!Pittsburgh, PA 991.29 29 72 5Portland, OR 893.99 38 7 73Providence, RI 938.5 29 72 5Reading, PA 9!.19 33 77 5!Richmond-Petersburg, VA 1"25.5 39 78 53Rochester, NY 87!.28 25 72 "St. Louis, MO-IL 953.5 32 79 57San Diego, CA
839.71 55 7" 1San Francisco, CA 911.7 !8 3 71San Jose, CA 79".73 !9 8 71Seattle, WA 899.2 !" ! 72Springfield, MA 9"!.1 28 7! 5Syracuse, NY 95".7 2! 72 1Toledo, OH 972.! 2 73 59Utica-Rome, NY 912.2 23 71 "Washington, DC-MD-VA 97.8 37 78 52Wichita, KS 823.7 32 81 5!Wilmington, DE-NJ-MD 1""3.5 33 7 5
Worcester, MA 895.7 2! 7" 5York, PA 911.82 33 7 5!Youngstown-Warren, OH 95!.!! 28 72 58
source
http://lib.stat.cmu.edu/DASL/Datafiles/SMSA.htmlhttp://lib.stat.cmu.edu/DASL/Datafiles/SMSA.html7/25/2019 Module 250 Xls 1 Sol
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/biostats Eric Depiereux - Universit de Namur
ces donnes et commente
n %tatistical "reas +a standardcit# in t'e United %tates0
onomic conditions in t'ese
llution potentials.
6aren'eiten'eit
7/25/2019 Module 250 Xls 1 Sol
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Rain #ducation $op%ensity &'on()ite &(* pop pop+)ouse
3 11.! 32!3 8.8 !2. "328 3.3!
35 11 !281 3.5 5".7 83588" 3.1!
!! 9.8 !2" ".8 39.! 35!81 3.21
!7 11.1 3125 27.1 5".2 2138231 3.!1
!3 9. !!1 2!.! !3.7 2199531 3.!!
53 1".2 3325 38.5 !3.1 8839! 3.!5
!3 12.1 !79 3.5 !9.2 28"5911 3.23
!5 1". 21!" 5.3 !".! !38557 3.29
3 1".5 582 8.1 !2.5 1"15!72 3.31
3 1".7 !213 .7 !1 !"!!21 3.3
52 9. 23"2 22.2 !1.3 !25!" 3.39
33 1".9 122 1.3 !!.9 "387 3.2
!" 1".2 !1"1 13 !5.7 1!"1!91 3.21
35 11.1 3"!2 1!.7 !!. 1898825 3.29
37 11.9 !259 13.1 !9. 12!833 3.2
35 11.8 1!!1 1!.8 51.2 1957378 3.22
3 11.! !"29 12.! !! 9!2"83 3.35
15 12.2 !82! !.7 53.1 1!2883 3.15
31 1".8 !83! 15.8 !3.5 !!88"72 3.!!
3" 1".8 39! 13.1 33.8 !5"!!9 3.53
31 1".9 322 5.1 !5.2 "18" 3.37
!2 1".! 229 22.7 !1.! 851851 3.!5
!3 11.5 29"9 7.2 51. 715923 3.25
! 11.! 2!7 21 !.9 27357 3.35
39 11.! !!12 15. !. 11575 3.23
35 12 322 12. !8. 91!!27 3.1
!3 9.5 321! 2.9 !3.7 323! 3.38
11 12.1 !7"" 7.8 !8.9 7!775"3 2.
3" 9.9 !!7! 13.1 !2. 9575 3.37
7/25/2019 Module 250 Xls 1 Sol
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5" 1".! 3!97 3.7 !3.3 913!72 3.!9
" 11.5 !57 13.5 !7.3 125781 2.5
3" 11.1 293! 5.8 !! 13971!3 3.2
25 12.1 2"95 2 51.9 2137133 3.28
!5 1".1 282 21 !.1 85"5"5 3.32
! 11.3 3327 8.8 !5.3 5""!7! 3.1
5! 9.7 3172 31.! !5.5 12525 3.3
!2 1".7 7!2 11.3 !8.7 827!91 3."3
!2 1".5 "92 17.5 !5.3 !71818 3.32
3 1". 3!37 8.1 !5.5 221887" 3.32
37 12 3387 3. 5".3 11"599 2.
!2 1".1 35"8 2.2 38.8 1851! 3.1
!1 9. !8!3 2.7 38. 3125"9 3."8
!! 11 378 28. !9.5 71311 3.32
32 11.1 !355 5 !.! 97123" 3.21
3! 9.7 51" 17.2 !5.1 18"821 3.23
1" 12.1 3"33 5.9 51 1818! 3.1118 12.2 !253 13.7 51.2 1!88871 2.92
13 12.2 27"2 3 51.9 1295"71 3.3
35 12.2 32 5.7 5!.3 1"7!9 3."2
!5 11.1 1883 3.! !1.9 515259 3.21
38 11.! !923 3.8 5".5 !2971 3.3!
31 1".7 32!9 9.5 !3.9 18! 3.22
!" 1".3 171 2.5 !7.! 32"18" 3.28
!2 12.3 53"8 25.9 59.7 325"822 3.25
28 12.1 35 7.5 51. !11313 3.27
5 11.3 3152 12.1 !7.3 523221 3.39
5 11.1 378 1 !!.8 !"2918 3.252 9 999 !.8 2.2 381255 3.22
38 1".7 3!51 11.7 37.5 53135" 3.!8
7/25/2019 Module 250 Xls 1 Sol
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7/25/2019 Module 250 Xls 1 Sol
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income H*$ot ',-$ot "2$ot ',-
295" 21 15 59 15
31!58 8 1" 39 1"
3185 33
32!52 18 8 2! 8
3238 !3 38 2" 38
27835 3" 32 72 32
3!! 21 32 2 32
!7258 ! ! !
312!8 18 12 37 12
29"89 12 7 2" 7
25782 18 8 27 8
3593 88 3 278 3
31!27 2 2 1! 2
3572" 31 21 ! 21
2971 23 9 15 9
3879 1 1 1 1
3"232 ! 1 !
39"99 17 8 28 8
33858 52 35 12! 35
32""" 11 ! 11 !
29915 5 3 1" 3
29!5" 8 3 5 3
3755 7 3 1" 3
39558 5 1 5
31!1 13 7 33 7
3"783 7 ! ! !
3"2!8 11 7 32 7
32! !8 319 13" 319
2921 38 37 193 37
7/25/2019 Module 250 Xls 1 Sol
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2791" 15 18 3! 18
328"8 3 1 1 1
35272 33 23 125 23
35871 2" 11 2 11
28!1 17 1! 78 1!
3!3! ! 3 8 3
327"! 2" 17 1 17
3"!7 !1 2 1"8 2
33!!9 29 32 11 32
3293! !5 59 23 59
33"2" 5 21 !! 21
3""9! ! 18 !
32!!9 11 11 89 11
3351" 12 9 !8 9
3!89 7 ! 18 !
3!5! 31 15 8 15
3258 1!! 2" !79 311 171 8 171
!199! 1"5 32 3 32
37"9 2" 7 2" 7
29327 5 1 2" 1
3"11! 8 5 25 5
3"!97 11 7 25 7
273"5 5 2 11 2
!1888 5 28 1"2 28
3!812 ! 2 1 2
33927 1! 11 !2 11
2937! 7 3 8 328985 8 8 !9 8
289" 1! 13 39 13
7/25/2019 Module 250 Xls 1 Sol
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Pratique des biostatistiques www.fundp.ac.bcity Mortality JanTemp JulyTemp RelHumAkron, OH 921.87 27 71 59Albany-Schenectady-Troy, NY 997.87 23 72 57Allentown, Bethlehem, PA-NJ 92.35 29 7! 5!
Atlanta, GA 982.29 !5 79 5Baltimore, MD 1"71.29 35 77 55Birmingham, AL 1"3".38 !5 8" 5!Boston, MA 93!.7 3" 7! 5Bridgeport-Milford, CT 899.53 3" 73 5Buffalo, NY 1""1.9 2! 7" 1Canton, OH 912.35 27 72 59Chattanooga, TN-GA 1"17.1 !2 79 5Chicago, IL 1"2!.89 2 7 58Cincinnati, OH-KY-IN 97".!7 3! 77 57Cleveland, OH 985.95 28 71 "
Columbus, OH 958.8! 31 75 58Dallas, TX 8".1 ! 85 5!Dayton-Springfield, OH 93.23 3" 75 58Denver, CO 871.77 3" 73 38Detroit, MI 959.22 27 7! 59Flint, MI 9!1.18 2! 72 1Grand Rapids, MI 871.3! 2! 72 1Greensboro-Winston-Salem-High Point, 971.12 !" 77 53Hartford, CT 887.!7 27 72 5Houston, TX 952.53 55 8! 59Indianapolis, IN 98.7 29 75 "
Kansas City, MO 919.73 31 81 55Lancaster, PA 8!!."5 32 7! 5!Los Angeles, Long Beach, CA 81.2 53 8 !7Louisville, KY-IN 989.2 35 71 57Memphis, TN-AR-MS 1"".!9 !2 82 59Miami-Hialeah, FL 81.!! 7 82 "Milwaukee, WI 929.15 2" 9 !Minneapolis-St. Paul, MN-WI 857.2 12 73 58Nashville, TN 91."1 !" 8" 5New Haven-Meriden, CT 923.23 3" 72 58New Orleans, LA 1113.1 5! 81 2
New York, NY 99!.5 33 77 58Philadelphia, PA-NJ 1"15."2 32 7 5!Pittsburgh, PA 991.29 29 72 5Portland, OR 893.99 38 7 73Providence, RI 938.5 29 72 5Reading, PA 9!.19 33 77 5!Richmond-Petersburg, VA 1"25.5 39 78 53Rochester, NY 87!.28 25 72 "
A propos du
75" 8"" 85" 9"" 95" 1"""
"
".5
1
1.5
2
2.5
3
3.5
!
$asser en re/ue les /aria0les cliuer sur les points saisir les donn4es encadr4es et aire 6li .
%tatistiques univariede la line 6ort @ort'manquantesNBxPot et Nox redondNox1ransformation de po
%)4Pot en &BC
http://webcampus.fundp.ac.be/BIOSTAT/document/docbiostats/Charte_copy.pdfhttp://webcampus.fundp.ac.be/BIOSTAT/document/docbiostats/Charte_copy.pdf7/25/2019 Module 250 Xls 1 Sol
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7/25/2019 Module 250 Xls 1 Sol
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/biostats Eric Depiereux - Universit de NamurRain #ducation $op%ensity &'on()ite &(* pop pop+)ouse
3 11.! 32!3 8.8 !2. "328 3.3!
35 11 !281 3.5 5".7 83588" 3.1!
!! 9.8 !2" ".8 39.! 35!81 3.21
!7 11.1 3125 27.1 5".2 2138231 3.!1!3 9. !!1 2!.! !3.7 2199531 3.!!
53 1".2 3325 38.5 !3.1 8839! 3.!5
!3 12.1 !79 3.5 !9.2 28"5911 3.23
!5 1". 21!" 5.3 !".! !38557 3.29
3 1".5 582 8.1 !2.5 1"15!72 3.31
3 1".7 !213 .7 !1 !"!!21 3.3
52 9. 23"2 22.2 !1.3 !25!" 3.39
33 1".9 122 1.3 !!.9 "387 3.2
!" 1".2 !1"1 13 !5.7 1!"1!91 3.21
35 11.1 3"!2 1!.7 !!. 1898825 3.29
37 11.9 !259 13.1 !9. 12!833 3.235 11.8 1!!1 1!.8 51.2 1957378 3.22
3 11.! !"29 12.! !! 9!2"83 3.35
15 12.2 !82! !.7 53.1 1!2883 3.15
31 1".8 !83! 15.8 !3.5 !!88"72 3.!!
3" 1".8 39! 13.1 33.8 !5"!!9 3.53
31 1".9 322 5.1 !5.2 "18" 3.37
!2 1".! 229 22.7 !1.! 851851 3.!5
!3 11.5 29"9 7.2 51. 715923 3.25
! 11.! 2!7 21 !.9 27357 3.35
39 11.! !!12 15. !. 11575 3.23
35 12 322 12. !8. 91!!27 3.1!3 9.5 321! 2.9 !3.7 323! 3.38
11 12.1 !7"" 7.8 !8.9 7!775"3 2.
3" 9.9 !!7! 13.1 !2. 9575 3.37
5" 1".! 3!97 3.7 !3.3 913!72 3.!9
" 11.5 !57 13.5 !7.3 125781 2.5
3" 11.1 293! 5.8 !! 13971!3 3.2
25 12.1 2"95 2 51.9 2137133 3.28
!5 1".1 282 21 !.1 85"5"5 3.32
! 11.3 3327 8.8 !5.3 5""!7! 3.1
5! 9.7 3172 31.! !5.5 12525 3.3
!2 1".7 7!2 11.3 !8.7 827!91 3."3!2 1".5 "92 17.5 !5.3 !71818 3.32
3 1". 3!37 8.1 !5.5 221887" 3.32
37 12 3387 3. 5".3 11"599 2.
!2 1".1 35"8 2.2 38.8 1851! 3.1
!1 9. !8!3 2.7 38. 3125"9 3."8
!! 11 378 28. !9.5 71311 3.32
32 11.1 !355 5 !.! 97123" 3.21
1"5" 11"" 115"
ser. *liuer sur la-e des ordonn4es on6let ec)elle pour selec tionner le lo6arit)me.
pop+)ouse
$ suppression+donnes
antes supprimer
9,Pot NBxPot
7/25/2019 Module 250 Xls 1 Sol
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3! 9.7 51" 17.2 !5.1 18"821 3.23
1" 12.1 3"33 5.9 51 1818! 3.11
18 12.2 !253 13.7 51.2 1!88871 2.92
13 12.2 27"2 3 51.9 1295"71 3.3
35 12.2 32 5.7 5!.3 1"7!9 3."2
!5 11.1 1883 3.! !1.9 515259 3.21
38 11.! !923 3.8 5".5 !2971 3.3!
31 1".7 32!9 9.5 !3.9 18! 3.22
!" 1".3 171 2.5 !7.! 32"18" 3.28
!2 12.3 53"8 25.9 59.7 325"822 3.25
28 12.1 35 7.5 51. !11313 3.27
5 11.3 3152 12.1 !7.3 523221 3.39
5 11.1 378 1 !!.8 !"2918 3.25
2 9 999 !.8 2.2 381255 3.22
38 1".7 3!51 11.7 37.5 53135" 3.!8
7/25/2019 Module 250 Xls 1 Sol
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income H*$ot ',-$ot "2$ot ',-
295" 21 15 59 15
31!58 8 1" 39 1"
3185 33
32!52 18 8 2! 83238 !3 38 2" 38
27835 3" 32 72 32
3!! 21 32 2 32
!7258 ! ! !
312!8 18 12 37 12
29"89 12 7 2" 7
25782 18 8 27 8
3593 88 3 278 3
31!27 2 2 1! 2
3572" 31 21 ! 21
2971 23 9 15 93879 1 1 1 1
3"232 ! 1 !
39"99 17 8 28 8
33858 52 35 12! 35
32""" 11 ! 11 !
29915 5 3 1" 3
29!5" 8 3 5 3
3755 7 3 1" 3
39558 5 1 5
31!1 13 7 33 7
3"783 7 ! ! !3"2!8 11 7 32 7
32! !8 319 13" 319
2921 38 37 193 37
2791" 15 18 3! 18
328"8 3 1 1 1
35272 33 23 125 23
35871 2" 11 2 11
28!1 17 1! 78 1!
3!3! ! 3 8 3
327"! 2" 17 1 17
3"!7 !1 2 1"8 233!!9 29 32 11 32
3293! !5 59 23 59
33"2" 5 21 !! 21
3""9! ! 18 !
32!!9 11 11 89 11
3351" 12 9 !8 9
3!89 7 ! 18 !
7/25/2019 Module 250 Xls 1 Sol
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3!5! 31 15 8 15
3258 1!! 2"
!79 311 171 8 171
!199! 1"5 32 3 32
37"9 2" 7 2" 7
29327 5 1 2" 1
3"11! 8 5 25 5
3"!97 11 7 25 7
273"5 5 2 11 2
!1888 5 28 1"2 28
3!812 ! 2 1 2
33927 1! 11 !2 11
2937! 7 3 8 3
28985 8 8 !9 8
289" 1! 13 39 13
7/25/2019 Module 250 Xls 1 Sol
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Pratique des biostatistiques www.fundp.ac.b
city Mortality JanTemp JulyTemp RelHumAkron, OH 921.87 27 71 59Albany-Schenectady-Troy, NY 997.87 23 72 57Allentown, Bethlehem, PA-NJ 92.35 29 7! 5!Atlanta, GA 982.29 !5 79 5Baltimore, MD 1"71.29 35 77 55Birmingham, AL 1"3".38 !5 8" 5!Boston, MA 93!.7 3" 7! 5Bridgeport-Milford, CT 899.53 3" 73 5Buffalo, NY 1""1.9 2! 7" 1Canton, OH 912.35 27 72 59Chattanooga, TN-GA 1"17.1 !2 79 5Chicago, IL 1"2!.89 2 7 58Cincinnati, OH-KY-IN 97".!7 3! 77 57Cleveland, OH 985.95 28 71 "Columbus, OH 958.8! 31 75 58Dallas, TX 8".1 ! 85 5!Dayton-Springfield, OH 93.23 3" 75 58Denver, CO 871.77 3" 73 38Detroit, MI 959.22 27 7! 59Flint, MI 9!1.18 2! 72 1Grand Rapids, MI 871.3! 2! 72 1Greensboro-Winston-Salem-High Point, 971.12 !" 77 53Hartford, CT 887.!7 27 72 5Houston, TX 952.53 55 8! 59Indianapolis, IN 98.7 29 75 "Kansas City, MO 919.73 31 81 55Lancaster, PA 8!!."5 32 7! 5!Los Angeles, Long Beach, CA 81.2 53 8 !7Louisville, KY-IN 989.2 35 71 57Memphis, TN-AR-MS 1"".!9 !2 82 59Miami-Hialeah, FL 81.!! 7 82 "Milwaukee, WI 929.15 2" 9 !Minneapolis-St. Paul, MN-WI 857.2 12 73 58Nashville, TN 91."1 !" 8" 5New Haven-Meriden, CT 923.23 3" 72 58New Orleans, LA 1113.1 5! 81 2New York, NY 99!.5 33 77 58Philadelphia, PA-NJ 1"15."2 32 7 5!Pittsburgh, PA 991.29 29 72 5Portland, OR 893.99 38 7 73Providence, RI 938.5 29 72 5Reading, PA 9!.19 33 77 5!Richmond-Petersburg, VA 1"25.5 39 78 53
A propos du
75" 8"" 85" 9"" 95" 1""" 1"5" 11
"
5
1"
15
2"
25
3"
35
!"
!5
R : ".!18"3!77"7
$asser en re/ue les /aria0les cliuer sur les points saisir les donn4es encadr4es et aire 6li .
http://webcampus.fundp.ac.be/BIOSTAT/document/docbiostats/Charte_copy.pdfhttp://webcampus.fundp.ac.be/BIOSTAT/document/docbiostats/Charte_copy.pdf7/25/2019 Module 250 Xls 1 Sol
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Rochester, NY 87!.28 25 72 "St. Louis, MO-IL 953.5 32 79 57San Diego, CA 839.71 55 7" 1San Francisco, CA 911.7 !8 3 71San Jose, CA 79".73 !9 8 71Seattle, WA 899.2 !" ! 72Springfield, MA 9"!.1 28 7! 5Syracuse, NY 95".7 2! 72 1Toledo, OH 972.! 2 73 59Utica-Rome, NY 912.2 23 71 "Washington, DC-MD-VA 97.8 37 78 52Wichita, KS 823.7 32 81 5!Wilmington, DE-NJ-MD 1""3.5 33 7 5Worcester, MA 895.7 2! 7" 5York, PA 911.82 33 7 5!Youngstown-Warren, OH 95!.!! 28 72 58
moyenne 9!1.17 33.8" 7!.!1 57.75
/ariance 389.!2 1"3." 21.18 28.95
mod>le 0" 01
".95!"3 ?"."53779
".173!3"29 1 8.8
".!7222727 1 3.5
".2!!!! 1 ".8
?".8582!9! 1 27.1
?".7""!71 1 2!.!?1.5""9"32 1 38.5
".!7222727 1 3.5
".37"7!9"5 1 5.3
".21289!"! 1 8.1
".2918215! 1 .7
?".582"187 1 22.2
?".2!93952 1 1.3
?"."335222 1 13
?".1591927 1 1!.7
?"."89899 1 13.1
?".1!83"!! 1 1!.8
?"."295215 1 12.!
".!"!57512 1 !.7
?".2212"723 1 15.8
?"."89899 1 13.1
".382"2!!1 1 5.1
?".1"2"7"7 1 22.7
".233315 1 7.2
source
http://lib.stat.cmu.edu/DASL/Datafiles/SMSA.htmlhttp://lib.stat.cmu.edu/DASL/Datafiles/SMSA.html7/25/2019 Module 250 Xls 1 Sol
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?".51!353 1 21
?".2"993187 1 15.
?"."!"8"151 1 12.
".5""533! 1 2.9
".2298"7"8 1 7.8
?"."89899 1 13.1
?1.399!821 1 3.7
?"."915!"2 1 13.5
".3!25"5 1 5.8
".55792!5 1 2
?".51!353 1 21
".173!3"29 1 8.8
?1.1""8513 1 31.!
"."32!8832 1 11.3
?".317"!777 1 17.5
".21289!"! 1 8.1
".!58959 1 3.
".5!5517"9 1 2.2".5173287 1 2.7
?".9!283"12 1 28.
".3872"9 1 5
?".3""13!73 1 17.2
".3392298 1 5.9
?".1"281597 1 13.7
".5""!15 1 3
".3!819833 1 5.7
".!778!95 1 3.!
".!5531!23 1 3.8
".13395! 1 9.5
".528"!" 1 2.5
?".79"1279 1 25.9
".2!72"11 1 7.5
?"."121311 1 12.1
".13192! 1 1
".398937!! 1 !.8
".""9937 1 11.7
moyenne 1.9993#?"15
/ariance ".2573"8R2 ."37#?""5
7/25/2019 Module 250 Xls 1 Sol
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/biostats Eric Depiereux - Universit de Namur
Rain #ducation $op%ensity &'on()ite &(* ;,@ pop pop+)ouse
3 11.! 32!3 8.8 !2. 5.81975971 3.3!
35 11 !281 3.5 5".7 5.9221!393 3.1!
!! 9.8 !2" ".8 39.! 5.8"31"257 3.21
!7 11.1 3125 27.1 5".2 .33""5!2 3.!1
!3 9. !!1 2!.! !3.7 .3!233""9 3.!!
53 1".2 3325 38.5 !3.1 5.9!!2573 3.!5
!3 12.1 !79 3.5 !9.2 .!!8"7389 3.23
!5 1". 21!" 5.3 !".! 5.!2"2"5 3.29
3 1".5 582 8.1 !2.5 .""795 3.31
3 1".7 !213 .7 !1 5."8337 3.3
52 9. 23"2 22.2 !1.3 5.299597 3.39
33 1".9 122 1.3 !!.9 5.7827!988 3.2
!" 1".2 !1"1 13 !5.7 .1!59"31 3.21
35 11.1 3"!2 1!.7 !!. .278!8!9! 3.29
37 11.9 !259 13.1 !9. 5."9329!1 3.2
35 11.8 1!!1 1!.8 51.2 .2917!7 3.22
3 11.! !"29 12.! !! 5.97!"8917 3.35
15 12.2 !82! !.7 53.1 .15!98238 3.15
31 1".8 !83! 15.8 !3.5 .52"5982 3.!!
3" 1".8 39! 13.1 33.8 5.53!53 3.53
31 1".9 322 5.1 !5.2 5.7793558 3.37
!2 1".! 229 22.7 !1.! 5.93"33! 3.!5
!3 11.5 29"9 7.2 51. 5.85!831 3.25
! 11.! 2!7 21 !.9 .!37"7895 3.35
39 11.! !!12 15. !. ."9127 3.23
35 12 322 12. !8. 5.911!9"! 3.1
!3 9.5 321! 2.9 !3.7 5.559123!7 3.38
11 12.1 !7"" 7.8 !8.9 .87375 2.
3" 9.9 !!7! 13.1 !2. 5.98"8"119 3.37
5" 1".! 3!97 3.7 !3.3 5.9"952! 3.!9
" 11.5 !57 13.5 !7.3 .211"2"! 2.5
3" 11.1 293! 5.8 !! .1!52!"8 3.2
25 12.1 2"95 2 51.9 .32983155 3.28
!5 1".1 282 21 !.1 5.929787 3.32
! 11.3 3327 8.8 !5.3 5.9938152 3.1
5! 9.7 3172 31.! !5.5 ."99"7815 3.3
!2 1".7 7!2 11.3 !8.7 .917759 3."3
!2 1".5 "92 17.5 !5.3 .73!912 3.32
3 1". 3!37 8.1 !5.5 .3!1318 3.32
37 12 3387 3. 5".3 ."!3392 2.
!2 1".1 35"8 2.2 38.8 5.7913!953 3.1
!1 9. !8!3 2.7 38. 5.!9!8253 3."8
!! 11 378 28. !9.5 5.881521 3.32
"" 115"
ser. *liuer sur la-e des ordonn4es on6let ec)elle pour selec tionner le lo6arit)me.
&'on()ite
;inear
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32 11.1 !355 5 !.! 5.987322"9 3.21
3! 9.7 51" 17.2 !5.1 .2573!757 3.23
1" 12.1 3"33 5.9 51 .299!37 3.11
18 12.2 !253 13.7 51.2 .172857"7 2.92
13 12.2 27"2 3 51.9 .11229358 3.3
35 12.2 32 5.7 5!.3 .2"1!21 3."2
!5 11.1 1883 3.! !1.9 5.712"2559 3.21
38 11.! !923 3.8 5".5 5.8"819139 3.3!
31 1".7 32!9 9.5 !3.9 5.79"189!3 3.22
!" 1".3 171 2.5 !7.! 5.5"539!2 3.28
!2 12.3 53"8 25.9 59.7 .51199319 3.25
28 12.1 35 7.5 51. 5.1!172!! 3.27
5 11.3 3152 12.1 !7.3 5.7188517 3.39
5 11.1 378 1 !!.8 5."5217 3.25
2 9 999 !.8 2.2 5.58121555 3.22
38 1".7 3!51 11.7 37.5 5.72538"8 3.!8
38.51 1".97 391".!9 11.88 !.39 ."" 3.25
133.9! ".72 2"78!8.8! 8".9 25.7" ".13 "."3
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income ;,@ H*$ot ;,@ ',-$ot ;,@ "2$ot *,R# ?B Mortality295" 1.32221929 1.17"912 1.77"852"1 ?".3"9
31!58 ".9"3"8999 1 1.591"!1 ".9"8
3185 ".77815125 ".77815125 1.5185139! ".339
32!52 1.25527251 ".9"3"8999 1.38"2112! ".59
3238 1.33!8! 1.579783 2.3138722 2."8!
27835 1.!7712125 1.5"51!998 1.8573325 1.!29
3!! 1.32221929 1.5"51!998 1.7923919 ?".1"!
!7258 ".77815125 "."2"5999 "."2"5999 ?".7
312!8 1.25527251 1."7918125 1.582"172 ".973
29"89 1."7918125 ".8!5"98"! 1.3"1"3 ?".!2
25782 1.25527251 ".9"3"8999 1.!31337 1.225
3593 1.9!!!827 1.7993!"55 2.!!!"!!8 1.3!1
31!27 1.!1!97335 1.!1!97335 2.1!3528 ".!9
3572" 1.!91319 1.32221929 1.8"17997 ".717
2971 1.317278! ".95!2!251 1.17"912 ".283
3879 " " " ?1.299
3"232 ".77815125 "."2"5999 1.2"!11998 ?"."79
39"99 1.23"!!892 ".9"3"8999 1.!!7158"3 ?1.112
33858 1.71""33! 1.5!!"8"! 2."93!219 ".289
32""" 1."!13929 "."2"5999 1."!13929 "."""
29915 ".9897 ".!7712125 1 ?1.119
29!5" ".9"3"8999 ".!7712125 ".9897 ".!8"
3755 ".8!5"98"! ".!7712125 1 ?".8"
39558 ".77815125 ".9897 " ".182
31!1 1.1139!335 ".8!5"98"! 1.5185139! ".!!1
3"783 ".8!5"98"! "."2"5999 "."2"5999 ?".3!!
3"2!8 1."!13929 ".8!5"98"! 1.5"51!998 ?1.55
32! 2.811575"1 2.5"379"8 2.1139!335 ?1.28"
2921 1.579783 1.582"172 2.28555731 ".77"
2791" 1.17"912 1.25527251 1.531!7892 1."!
328"8 ".!7712125 " " ?1.277
35272 1.5185139! 1.317278! 2."991""1 ?".193
35871 1.3"1"3 1."!13929 1.!1!97335 ?1.339
28!1 1.23"!!892 1.1!128"! 1.892"9! ".318
3!3! "."2"5999 ".!7712125 ".9"3"8999 ?".287
327"! 1.3"1"3 1.23"!!892 " 2.755
3"!7 1.127838 1.!1!97335 2."33!237 ".857
33!!9 1.!2398 1.5"51!998 2.2"82588 1.183
3293! 1.5321251 1.77"852"1 2.!1995575 ".8"3
33"2" 1.7!8188"3 1.32221929 1.!3!528 ?".75
3""9! ".77815125 "."2"5999 1.25527251 ?"."!3
32!!9 1."!13929 1."!13929 1.9!939""1 "."8"
3351" 1."7918125 ".95!2!251 1.812!12! 1.351
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3!89 ".8!5"98"! "."2"5999 1.25527251 ?1."72
3!5! 1.!91319 1.17"912 1.8325"891 ".198
3258 2.15832!9 1.8195!39! 1.3"1"3 ?1.25
!79 2.!927"39 2.2329911 1.93!!98!5 ?".!72
!199! 2."211893 1.5"51!998 ".!7712125 ?2.!1"
37"9 1.3"1"3 ".8!5"98"! 1.3"1"3 ?".71
29327 ".9897 " 1.3"1"3 ?".593
3"11! ".9"3"8999 ".9897 1.3979!""1 ".152
3"!97 1."!13929 ".8!5"98"! 1.3979!""1 ".5"1
273"5 ".9897 ".3"1"3 1."!13929 ?".!!
!1888 1.8129133 1.!!7158"3 2.""8""17 ".!27
3!812 "."2"5999 ".3"1"3 " ?1.881
33927 1.1!128"! 1."!13929 1.232!929 ".998
2937! ".8!5"98"! ".!7712125 ".9"3"8999 ?".728
28985 ".9"3"8999 ".9"3"8999 1.9"19"8 ?".!7"
289" 1.1!128"! 1.1139!335 1.591"!1 ".213
332!. 1.22 1."2 1.!1 ".""
CCC ".2! ".27 ".!" 1.""
MatriceMortality
Mortality 1.""
JanTemp ?"."2
JulyTemp ".32
RelHum ?".1"
Rain ".!3
#ducation ?".51$op%ensity ".25
&'on()ite ".5
&(* ?".29
;,@ pop "."9
pop+)ouse ".37
income ?".28
;,@ H*$ot ".13
;,@ ',-$ot ".28
;,@ "2$ot ".39
".2MortalityMortalityJanTempJulyTempRelHum
Matrice
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Rain
Education ".2PopDensity%NonWhite ".!2%WC
LOG poppop/houseincomeLOG HCPotLOG NOxPot
LOG S02Pot
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JanTemp JulyTemp RelHum Rain #ducation $op%ensity
?".9 ?".7!" ".233 ?".217 ".51" ?".!3
?1."! ?".523 ?".139 ?".3"3 "."!" ".257
?".!72 ?"."88 ?".9 ".!7! ?1.371 ".2!2
1.1"! ".998 ?".32! ".73! ".157 ?".5!5
".119 ".5! ?".51" ".388 ?1." 1.755
1.1"! 1.215 ?".9 1.252 ?".9"1 ?".!"
?".37! ?"."88 ?".32! ".388 1.333 ".533
?".37! ?".3" ?".32! ".51 ?".!3" ?1.228
?".95 ?".958 "."5 ?".217 ?".5!8 1.853
?".9 ?".523 ".233 ?".217 ?".313 ".21"
".8"8 ".998 ?".32! 1.1 ?1." ?1.11
?".78 ".3! "."!7 ?".!7 ?"."78 1.53!
"."2" ".5! ?".139 ".129 ?".9"1 ".132
?".571 ?".7!" ".!19 ?".3"3 ".157 ?"."2
?".275 ".129 "."!7 ?".13" 1."98 ".2!2
1.2"2 2.3"2 ?".9 ?".3"3 ".98" ?1.713
?".37! ".129 "."!7 ?".217 ".51" "."82
?".37! ?".3" ?3.7" ?2."31 1.!5" ".3!
?".9 ?"."88 ".233 ?".!9 ?".195 ".!1
?".95 ?".523 "."5 ?".735 ?".195 ?".15"
?".95 ?".523 "."5 ?".!9 ?"."78 ?".!75
".11 ".5! ?".882 ".3"2 ?".5 ?1.139
?".9 ?".523 ?".32! ".388 ".28 ?".95
2."89 2."85 ".233 ".!7 ".51" ?".87
?".!72 ".129 ".!19 "."!2 ".51" ".3!8
?".275 1.!33 ?".51" ?".3"3 1.215 ?".!5"
?".177 ?"."88 ?".9 ".388 ?1.723 ?".!83
1.892 ?1.392 ?1.997 ?2.377 1.333 ".5!8
".119 ?".7!" ?".139 ?".735 ?1.253 ".391
".8"8 1.5" ".233 ".993 ?".5 ?".287
3.271 1.5" ".!19 1.857 ".28 ".518
?1.359 ?1.175 1.12 ?".735 ".157 ?".77
?2.1!7 ?".3" "."!7 ?1.17 1.333 ?1.259
".11 1.215 ?".32! ".51 ?1."18 ?".852
?".37! ?".523 "."!7 ".!7 ".393 ?".!"5
1.99" 1.!33 ".791 1.339 ?1.!88 ?".512
?"."78 ".5! "."!7 ".3"2 ?".313 2.!3
?".177 ".3! ?".9 ".3"2 ?".5!8 1.513
?".!72 ?".523 ?".32! ?".217 ?".!3" ?".328
".!1! ?1.1" 2.835 ?".13" 1.215 ?".33
?".!72 ?".523 ?".32! ".3"2 ?1."18 ?".279
?"."78 ".5! ?".9 ".215 ?1." ".!7
".513 ".781 ?".882 ".!7! "."!" ?"."99
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?".8 ?".523 ".!19 ?".52 ".157 ".3"8
?".177 ".998 ?".139 ?".39" ?1.!88 ".87
2."89 ?".958 "."5 ?2.!3 1.333 ?"."9
1.399 ?2.!79 2.!3 ?1.772 1.!5" ".238
1.!98 ?1.392 2.!3 ?2.2"! 1.!5" ?".838
".11 ?2.21 2.!9 ?".3"3 1.!5" ?".197
?".571 ?"."88 ?".32! ".51 ".157 ?1.!"
?".95 ?".523 "."5 ?"."!! ".51" ".7"2
?".78 ?".3" ".233 ?".!9 ?".313 ?".!59
?1."! ?".7!" ".!19 ".129 ?".783 ?1.553
".31 ".781 ?1."8 ".3"2 1.58 ".99
?".177 1.!33 ?".9 ?".9"8 1.333 ?".17"
?"."78 ".3! ?".32! 2.289 ".393 ?".52
?".95 ?".958 ?".32! 2.289 ".157 ?".11
?"."78 ".3! ?".9 2."3" ?2.311 !."15
?".571 ?".523 "."!7 ?"."!! ?".313 ?".319
"."" "."" "."" "."" "."" ".""
1."" 1."" 1."" 1."" 1."" 1.""
e corr4lation 1+n JanTemp JulyTemp RelHum Rain #ducation $op%ensity
?"."2 ".32 ?".1" ".!3 ?".51 ".25
1."" ".32 "."9 "." ".11 ?"."8
".32 1."" ?".!! ".!7 ?".27 ?"."1
"."9 ?".!! 1."" ?".12 ".19 ?".15
"." ".!7 ?".12 1."" ?".!7 "."8
".11 ?".27 ".19 ?".!7 1."" ?".2!?"."8 ?"."1 ?".15 "."8 ?".2! 1.""
".! "." ?".12 ".3" ?".21 ?"."1
".21 ?"."1 "."1 ?".11 ".!9 ".25
".32 "."! ?"."2 ?".28 ".27 ".21
?".33 ".2 ?".1! ".2" ?".39 ?".17
".2" ?".19 ".13 ?".3 ".51 ".""
".23 ?".!1 ".18 ?".!8 ".18 ".2
".18 ?".3" ".1" ?".39 "."3 ".3!
?".31 ?".31 ?".11 ?".13 ?".25 ".!5
JanTemp JulyTemp RelHum Rain Education PopDensity
".2
".22
e d4termination
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".22 ".22
".22
".21 ".3
".2!
".2
".23
".21
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&'on()ite &(* ;,@ pop pop+)ouse income ;,@ H*$ot
?".3!2 ?".7!7 ?".511 ".511 ?".82! ".217
?".931 ".851 ?".223 ?".583 ?".!"" ?".38
?1.231 ?1.378 ?".558 ?".2"" ?".311 ?".893
1.92 ".752 ".92 ".893 ?".178 "."8"
1.392 ?".53" ".9" 1."57 ?".19 ".852
2.959 ?".!8 ?".15! 1.112 ?1.21" ".533
?".931 ".555 1.258 ?"."91 ".7" ".217
?".731 ?1.181 ?1."11 ".237 3.132 ?".893
?".!2" ?".77 "."15 ".3!7 ?".!!7 "."8"
?".575 ?1."2 ?1.111 ".2" ?".929 ?".279
1.1!7 ?1.""3 ?1."!5 ".78! ?1.9 "."8"
".!92 ?".293 ?".15 ?".255 ".7!8 1.!8
".125 ?".135 ".!"9 ?".2"" ?".!"7 ".!"
".31! ?".352 ".781 ".237 ".553 ".52
".13 ".3! ?2.5!8 "."73 ?".779 ".297
".325 ".9!9 ".818 ?".1!5 1.235 ?2.!81
"."58 ?".!71 ?"."7 ".55 ?".7! ?".893
?".798 1.32! ".!33 ?".528 1.3"8 "."29
".!3 ?".59 1.833 1."57 ".137 1."2"
".13 ?2.!83 ?".979 1.5!9 ?".279 ?".35
?".753 ?".23! ?".25 ".75 ?".7!5 ?1."55
1.2"3 ?".98! ?".2"" 1.112 ?".8!9 ?".38
?".52" 1."28 ?".!12 "."19 ".95 ?".757
1."1! ".1"1 1.227 ".55 1.!11 ?".893
".!1! "."!2 ".185 ?"."91 ?".399 ?".2"8
"."8" ".!37 ?".113 ?".8"1 ?".551 ?".757
?".998 ?".53" ?1.2!5 ".729 ?".7" ?".35
?".!53 ".!9 2.!57 ?3.2"7 ".755 3.25
".13 ?".7!7 ?"."58 ".75 ?".811 ".7!2
2.759 ?"."9 ?".11! 1.331 ?1.193 ?"."81
".18" ".18" ".591 ?3.22 ?"."98 ?1.5"8
?".75 ?".!71 ".!"5 "."73 ".!53 ".17
?1."98 1."88 ".925 ".183 ".587 ".173
1."1! ?"."57 ?".2"2 ".!"1 ?1."3" "."29
?".3!2 ?".21! ?".85" ?".!73 ".25" ?1.253
2.17" ?".175 ".275 ".2" ?".121 ".173
?"."! ".!5 2.581 ?1.18! ".2 ".81"
".25 ?".21! 1.893 ".!"1 "."!5 ".5"3
?".!2" ?".175 ".971 ".!"1 ?"."7" ".892
?".92" ".772 ".119 ?3.2"7 ?"."51 1."8
?1."75 ?1.!9 ?".591 ?".!73 ?".7"5 ?".893
?1."2" ?1.53 ?1.!2 ?".911 ?".178 ?".35
1.859 ".1! ?".337 ".!"1 "."59 ?".279
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?".7! ".""3 ?"."39 ?".2"" ".39 ?".757
".592 ?".25! ".721 ?"."91 ".29" ".52
?".! ".91" ".757 ?".7!7 ?".1!8 1.923
".2"3 ".9!9 ".!83 ?1.78 3.291 2."5
?".987 1."88 ".313 ".2" 1.95 1.!3
?".8 1.51 ".577 ?1.239 ".855 ".173
?".9!2 ?".885 ?".81! ?".2"" ?".87 ?1."55
?".898 ".811 ?".5!! ".511 ?".7"" ?".38
?".2! ?".!9" ?".59! ?".1!5 ?".15 ?".35
?1."!2 ".2"" ?1.39 ".183 ?1.328 ?1."55
1.559 2.2 1.!38 "."19 1.932 1.218
?".!8 1."28 ?1."9" ".128 ".35" ?1.253
"."25 ".18" ?".79 ".78! ".152 ?".1!3
?1.2"9 ?".313 ?1.115 "."19 ?".8 ?".757
?".78 3.119 ?1.183 ?".1!5 ?".953 ?".38
?"."2" ?1.753 ?".777 1.27 ?".958 ?".1!3
"."" "."" "."" "."" "."" ".""
1."" 1."" 1."" 1."" 1."" 1.""
&'on()ite &(* ;,@ pop pop+)ouse income ;,@ H*$ot
".5 ?".29 "."9 ".37 ?".28 ".13
".! ".21 ".32 ?".33 ".2" ".23
"." ?"."1 "."! ".2 ?".19 ?".!1
?".12 "."1 ?"."2 ?".1! ".13 ".18
".3" ?".11 ?".28 ".2" ?".3 ?".!8
?".21 ".!9 ".27 ?".39 ".51 ".18?"."1 ".25 ".21 ?".17 "."" ".2
1."" ?"." ".22 ".35 ?".1" ".15
?"." 1."" ".28 ?".35 ".37 ".1
".22 ".28 1."" ?".2 ".!1 ".!8
".35 ?".35 ?".2 1."" ?".3" ?".22
?".1" ".37 ".!1 ?".3" 1."" ".29
".15 ".1 ".!8 ?".22 ".29 1.""
".21 ".11 ".5" ?".12 ".25 ".9!
"."5 ?"."7 ".25 "."1 ?".1" ".1
%NonWhite %WC LOG pop pop/house income LOG HCPot
".!2
".21
".3
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".23
".2! ".2
".23
".23
".25 ".88
".37
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;,@ ',-$ot ;,@ "2$ot
".31" ".57"
?"."31 ".28!
?".!1 ".19
?".219 ?"."51
1."93 1.!32
".9!8 ".7"7
".9!8 "."!
?".8"2 ?1.28
".122 ".2!8
?".331 ?".17
?".219 "."31
1.518 1.39
".773 1.195
".593 ".2
?".12" ?".375
?1.99 ?2.2!2
?".8"2 ?".33"
?".219 "."5
1."23 1."82
?".8"2 ?".589
?1."!! ?".5!
?1."!! ?1.132
?1."!! ?".5!
?".1! ?2.2!2
?".331 ".19
?".8"2 ?1.28
?".331 ".1!8
2.883 1.115
1."7" 1.387
".!! ".19"
?1.99 ?2.2!2
".7" 1."88
"."!9 ".""5
".252 ".72
?1."!! ?".8"8
".!1 ?2.2!2
".773 ".987
".9!8 1.22
1.!3 1."1
".593 ".37
?".8"2 ?".2!9
"."!9 ".853
?".12" ".!27
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?".8"2 ?".2!9
".31" ".8
1.557 ?".17
2.358 ".83"
".9!8 ?1.!85
?".331 ?".17
?1.99 ?".17
?".1! ?"."22
?".331 ?"."22
?1.38 ?".589
".83 ".9!7
?1.38 ?2.2!2
"."!9 ".335
?1."!! ?".8"8
?".219 ".!!2
".19" ".28!
"."" ".""
1."" 1.""
;,@ ',-$ot ;,@ "2$ot
".28 ".39
".18 ?".31
?".3" ?".31
".1" ?".11
?".39 ?".13
"."3 ?".25".3! ".!5
".21 "."5
".11 ?"."7
".5" ".25
?".12 "."1
".25 ?".1"
".9! ".1
1."" ".7"
".7" 1.""
LOG NOxP LOG S02Pot
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".21
".25
".88 ".37
".!8
".!8
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Pratique des biostatistiques www.fundp.ac.be/biostats Eric Depiereux -
Mortality JanTemp JulyTemp RelHum Rain #ducation $op%ensit &'on()it
Mortality ?".17 ".! "."2 ?".1" "."8 ?".2! ?".1 ".2!
JanTemp "."9 "." ".53 ?".17 ".3" ".38 ".12 ?".2
JulyTemp ?".3" ".13 ".!3 ".1! ?".18 "."7 "."1 ".""RelHum ".1! ?".11 ?"."8 ?".!5 "." ?".!" ?"."8 "."3
Rain ?".35 ".11 ".13 ".18 ".39 ?".21 ?".15 ".18
#ducation ".3" ?".29 ".18 ?"."5 ?".2" ?".2! ".19 ".!1
$op%ensit ".1" ".27 ?"."8 ".58 ".23 ?".13 ?".1" ?".33
&'on()it ?".13 ".3 ".39 ?".25 ?"."7 ?".15 ".18 "."!
&(* ".23 ?"."9 ".27 ".!1 "." ?".! ".!9 ?"."2
;,@ pop ".29 ".2" ".27 "."5 ?".18 "."2 ?".!2 ".!3
pop+)ouse ?".28 ".15 ?".12 ?".27 ?".!3 ?".!3 ".1! ?".3!
income ".31 ?".11 ".21 ?"."1 ?".19 ?".29 ?"." ?".!1
;,@ H*$o ".39 ".29 ?"."5 ?".17 "."2 ".1" ".21 ?".12
;,@ ',-$ ".3! ".38 ?"." ?".12 ?"."2 "."7 ".12 ?".13
;,@ "2$ ".17 ".!" ?".33 ".13 ?"." "."1 "." ".2!
A propos d
dentie cette matricecalcule par diaonalisation+loiciel R.Nomme la dans le tableur.
Utilise la pour la suite del!anal#se.
http://webcampus.fundp.ac.be/BIOSTAT/document/docbiostats/Charte_copy.pdfhttp://webcampus.fundp.ac.be/BIOSTAT/document/docbiostats/Charte_copy.pdfhttp://webcampus.fundp.ac.be/BIOSTAT/document/docbiostats/Charte_copy.pdf7/25/2019 Module 250 Xls 1 Sol
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niversit de Namur
&(* ;,@ pop pop+)ouse income ;,@ H*$o ;,@ ',-$ ;,@ "2$ot
?".18 ".35 "."9 ?".55 ?".25 ?".2! ?".1
?"."1 ?".11 ?".23 ?".11 ".1! ?".5" ?".1"
".1 ".11 ".!! ".!9 ?".39 ?".1" ?".15".3! "."1 ".2! ".23 ?"."3 ?"."7 ?"."1
?".!" ?".37 ?".39 ".27 ?".13 ".1! "."1
?".13 ".!1 ?".!1 ".27 ?"."9 ?".23 ".""
".35 ".!" ?".29 ".12 "."9 ?"."1 "."1
?"."! ".22 "."! "."8 ".55 ".!" ".23
?"."2 ?".3" ".27 ?".29 ?"."1 "."" ?"."1
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