regresion lineal y correlacion lineal 01 enviado_13_v_2010
TRANSCRIPT
REGRESION Y CORRELACION LINEAL1)
AÑO POBLACION
millones x x^2 x^3 x^4 xy1850 5.00 1.00 1.00 1.00 1.00 5.001860 3.00 2.00 4.00 8.00 16.00 6.001870 2.00 3.00 9.00 27.00 81.00 6.001880 4.00 4.00 16.00 64.00 256.00 16.001890 6.00 5.00 25.00 125.00 625.00 30.001900 10.00 6.00 36.00 216.00 1296.00 60.001910 18.00 7.00 49.00 343.00 2401.00 126.00
48.0 28.0 140.0 784.0 4676.0 249.0
ECUACIONES NORMALES48.0 =
249.0 =1491.0 =
-13441743
399
-672010437
3717
-625632728532102900
c =b =a =
y= 9.428571428571
X=
EEUU y
x^2y Yest (Yest-Ymed)^2 (Y-Ymed)^2 (Y-Yest)^2 Y^25.00 5.21429 2.69898 3.44898 0.04591836735 1
12.00 2.78571 16.57653 14.87755 0.04591836735 418.00 2.14286 22.22449 23.59184 0.02040816327 964.00 3.28571 12.75510 8.16327 0.51020408163 16
150.00 6.21429 0.41327 0.73469 0.04591836735 25360.00 10.92857 16.57653 9.87755 0.86224489796 36882.00 17.42857 111.75510 124.16327 0.32653061224 49
1491.0 183.00000 184.85714 1.85714 140.00000
7 a + 28.0 b +28.0 a + 140.0 b +
140.0 a + 784.0 b +
-196 -784196.0 980
0.0 196
-980 -3920980 5488
0 1568
-307328307328
0Ymed= 6.857143
0.89285714286-5.107142857149.42857142857
+ -5.1071428571 X + 0.89285714286 X^2
COEF. CORRELACCOEF. DETERM
(Yest-Y)^22.69897959216.57653061
22.224489812.755102040.41326530616.57653061
111.755102183.00000
140.0 c -28.0 -140.0784.0 c 7
4676.0 c 7
-392054881568 -1568
-196003273213132 196
-24586242573872
115248
r 0.99496r^2 0.98995
REGRESION LINEAL MULTIPLE
ECUACIONES NORMALES
X1 X2 Y X1^2 X2^22 1 11 4 14 1 14 16 13 3 12 9 93 3 14 9 94 5 15 16 254 5 12 16 2520 18 78 70 70
n= 6
ECUACIONES NORMALES 78 6 a 20 b264 20 a 70 b238 18 a 64 b
1560 120 a 400 b-1584 -120 a -420 b
-24 0 -20
1404 108 a 360 b-1428 -108 a -384 b
-24 0 -24
576 0 a 480 b-480 0 a -480 b
96 0 0
c = -0.07143b = 1.28571a = 8.92857
y = 8.92857 + 1.28571
COEFICIENTE DE CORRELACION MULTIPLE ENTRE Y, X1 IGNORANDO X2.rYX1= 0.632456
COEFICIENTE DE CORRELACION MULTIPLE ENTRE Y, X2 IGNORANDO X1.rYX2= 0.288675
COEFICIENTE DE CORRELACION MULTIPLE ENTRE X1, X2 IGNORANDO Y.rX1X2= 0.547723
COEFICIENTES DE CORRELACION PARCIAL ENTRE LAS VARIABLESRyx1,x2= 0.592157Ryx2,x1= -0.089087Rx1x2,y= 0.492366
Se aprecia que la correlacion mayor es entre las variables X1 Y X2.
X1X2 X1Y X2Y Yest (Yest-Ymed)^2 (Y-Ymed)^2 (Y-Yest)^2 Y^22 22 11 11.42857 2.46939 4.00000 0.1836735 1214 56 14 14.00000 1.00000 1.00000 0 1969 36 36 12.57143 0.18367 1.00000 0.3265306 1449 42 42 12.57143 0.18367 1.00000 2.0408163 196
20 60 75 13.71429 0.51020 4.00000 1.6530612 22520 48 60 13.71429 0.51020 1.00000 2.9387755 144
64 264 238 4.85714 12.00000 7.1428571 1026
18 c 20 1864 c -670 c -6
360 c-384 c
-24 c 4 -24
324 c-420 c
-96 5 20
576 c-1920 c-1344
Sy,x= 1.33631Spy,x= 1.0910895
desv Y= 1.41421COEF. CORR r 0.63620901 r 0.636209COEF. DETE r^2 0.4047619 r^2 0.4047619
Ymed 13.00X= 4 Y= 14.0714285714X= 12 Y= 24.3571428571
X1 + -0.07143 X2
(Yest-Y)^22.4693877551
10.183673469390.183673469390.510204081630.51020408163
4.85714
REGRESION LINEAL MULTIPLE
ECUACIONES NORMALES
X1 X2 Y X1^2 X2^20 1 13 0 12 3 18 4 94 3 14 16 96 7 21 36 498 5 11 64 2520 19 77 120 93
n= 5
ECUACIONES NORMALES 77 5 a 20 b306 20 a 120 b311 19 a 100 b
1540 100 a 400 b-1530 -100 a -600 b
10 0 -200
1463 95 a 380 b-1555 -95 a -500 b
-92 0 -120
-1200 0 a 24000 b-18400 0 a -24000 b-19600 0 0
c = 3.06250b = -1.88750a = 11.31250
y = 11.31250 + -1.88750
COEFICIENTE DE CORRELACION MULTIPLE ENTRE Y, X1 IGNORANDO X2.rYX1= -0.039163
COEFICIENTE DE CORRELACION MULTIPLE ENTRE Y, X2 IGNORANDO X1.
rYX2= 0.499646COEFICIENTE DE CORRELACION MULTIPLE ENTRE X1, X2 IGNORANDO Y.
rX1X2= 0.83205
COEFICIENTES DE CORRELACION PARCIAL ENTRE LAS VARIABLESRyx1,x2= -0.946713Ryx2,x1= 0.960231Rx1x2,y= 0.983887
Se aprecia que la correlacion mayor es entre las variables X1 Y X2.
X1X2 X1Y X2Y Yest (Yest-Ymed)^2 (Y-Ymed)^2 (Y-Yest)^2 Y^20 0 13 14.37500 1.05063 5.76000 1.890625 1696 36 54 16.72500 1.75563 6.76000 1.625625 324
12 56 42 12.95000 6.00250 1.96000 1.1025 19642 126 147 21.42500 36.30063 31.36000 0.180625 44140 88 55 11.52500 15.01563 19.36000 0.275625 121
100 306 311 60.12500 65.20000 5.075 1251
19 c 20 19100 c -5
93 c -5
380 c-500 c-120 c 4 -120
361 c-465 c-104 5 200
14400 c-20800 c
-6400Sy,x= 1.30064
Spy,x= 1.0074721desv Y= 3.61109
COEF. CORR r 0.96029296 r 0.960293COEF. DETE r^2 0.92216258 r^2 0.9221626
Ymed 15.4X= 4 Y= 3.7625X= 12 Y= -11.3375
X1 + 3.06250 X2
(Yest-Y)^21.0506251.755625
6.002536.30062515.015625
60.12500
REGRESION LINEAL MULTIPLE
ECUACIONES NORMALES
X1 X2 Y X1^2 X2^20 1 16 0 12 3 34 4 94 5 38 16 256 5 32 36 257 7 72 49 498 9 66 64 8127 30 258 169 190
n= 6
ECUACIONES NORMALES 258 6 a 27 b1444 27 a 169 b1566 30 a 177 b
6966 162 a 729 b-8664 -162 a -1014 b-1698 0 -285
7740 180 a 810 b-9396 -180 a -1062 b-1656 0 -252
427896 0 a 71820 b-471960 0 a -71820 b
-44064 0 0
c = 9.00000b = -2.00000a = 7.00000
y = 7.00000 + -2.00000
COEFICIENTE DE CORRELACION MULTIPLE ENTRE Y, X1 IGNORANDO X2.rYX1= 0.851402
COEFICIENTE DE CORRELACION MULTIPLE ENTRE Y, X2 IGNORANDO X1.rYX2= 0.904845
COEFICIENTE DE CORRELACION MULTIPLE ENTRE X1, X2 IGNORANDO Y.rX1X2= 0.963546
COEFICIENTES DE CORRELACION PARCIAL ENTRE LAS VARIABLESRyx1,x2= -0.179605Ryx2,x1= 0.60201Rx1x2,y= 0.864994
Se aprecia que la correlacion mayor es entre las variables X1 Y X2.
X1X2 X1Y X2Y Yest (Yest-Ymed)^2 (Y-Ymed)^2 (Y-Yest)^2 Y^20 0 16 16.00000 729.00000 729.00000 0 2566 68 102 30.00000 169.00000 81.00000 16 1156
20 152 190 44.00000 1.00000 25.00000 36 144430 192 160 40.00000 9.00000 121.00000 64 102449 504 504 56.00000 169.00000 841.00000 256 518472 528 594 72.00000 841.00000 529.00000 36 4356
177 1444 1566 1918.00000 2326.00000 408 13420
30 c 27 30177 c -6190 c -6
810 c-1062 c
-252 c 4 -252
900 c-1140 c
-240 5 285
63504 c-68400 c
-4896Sy,x= 10.09950
Spy,x= 8.246211318.34572
COEF. CORR r 0.90807025 r 0.8932855 ERRORCOEF. DETE r^2 0.82459157 r^2 0.797959
Ymed 43X= 4 Y= -1X= 12 Y= -17
X1 + 9.00000 X2
(Yest-Y)^2729169
19
169841
1918.00000
REGRESION LINEAL
ECUACIONES NORMALES
X Y XY X^2 Yest (Yest-Ymed)^21 14 14 1 15.20000 282.240002 33 66 4 23.60000 70.560003 20 60 9 32.00000 0.000004 41 164 16 40.40000 70.560005 52 260 25 48.80000 282.2400015 160 564 55 705.60000
n= 5
ECUACIONES NORMALES 160 5 a 15 b564 15 a 55 b
2400 75 a 225 b-2820 -75 a -275 b
-420 0 -50
b = 8.40000 Ymeda = 6.80000 COEFICIENTE DE DETERMINACION
y = 6.80000 + 8.40000 x
(Y-Ymed)^2 Y^2324.00000 196
1.00000 1089144.00000 400
81.00000 1681400.00000 2704950.00000 6070
15-5
COEFICIENTE DE CORRELACION32 r 0.861822 r 0.861822
COEFICIENTE DE DETERMINACION r^2 0.742737 r^2 0.742737X= 4 Y= 40.4X= 12 Y= 107.6X= 3.5 Y= 36.2