Coeficiente de correlacion lineal 5 1

793 views

Published on

Diagrama de Dispersión

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
793
On SlideShare
0
From Embeds
0
Number of Embeds
5
Actions
Shares
0
Downloads
5
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Coeficiente de correlacion lineal 5 1

  1. 1. x y1 1291.0 599.72 1325.1 607.9 3 1357.1 605.6 4 1381.4 603.0 5 1409.4 606.6 6 1429.2 616.4 7 1448.7 629.7 8 1470.9 630.0 9 1512.2 632.710 1520.0 642.811 1546.6 642.212 1561.3 639.413 1603.3 638.814 1607.7 643.715 1637.4 624.9 ∑ 22101.30 9363.40 SCx 162486.464 SCy 3662.97 SCxy 20800.90 Coeficiente de coorelacion r 0.85262278 Coeficiente de determinacion r2 0.72696561 Error estandar Sylx 59.0207236 3662.97 2662.85 1000.12 76.93 Sylx 8.77
  2. 2. x2 y21666681.00 359640.091755890.01 369542.411841720.41 366751.361908265.96 363609.001986408.36 367963.562042612.64 379948.962098731.69 396522.092163546.81 396900.002286748.84 400309.292310400.00 413191.842391971.56 412420.842437657.69 408832.362570570.89 408065.44 2584699.29 414349.69 2681078.76 390500.0132726983.91 5848546.94
  3. 3. xy 774212.70 805528.29 821859.76 832984.20 854942.04 880958.88 912246.39 926667.00 956768.94 977056.00 993226.52 998295.22 1024188.04 1034876.49 1023211.2613817021.73
  4. 4. Sustitucion x1291.01325.11357.11381.41409.41429.21448.71470.91512.21520.01546.61561.31603.31607.71637.4
  5. 5. Sustitucion y 600.87 605.24 609.34 612.45 616.03 618.57 621.06 623.90 629.19 630.19 633.59 635.48 640.85 641.42 645.22
  6. 6. 650.0 y = 0.128x + 435.61 R² = 0.727640.0630.0620.0610.0600.0590.0 1250.0 1300.0
  7. 7. a1 n*∑xy ∑x*∑y n*∑x2 (∑x)2 a0 2 ∑x *∑y ∑ x * ∑x y n*∑x2 (∑x)2y = 0.128x + 435.61 R² = 0.727 1300.0 1350.0 1400.0 1450.0
  8. 8. Recta de regresion lineal y= a1x+a0 a1= ? a0= ? a1 207255325.95 206943312.42 490904758.65 488467461.69 a0 306435841142.89 305374142361.25 490904758.65 488467461.691450.0 1500.0 1550.0
  9. 9. ecta de regresion lineal 0.12802 435.61 a1 312013.53 2437296.96 a0 1061698781.65 2437296.96 1550.0 1600.0 1650.0
  10. 10. n*∑xy - ∑x*∑y n*∑x2 - (∑x)2 ∑ x2 * ∑ y - ∑ x * ∑x y n*∑x2 - (∑x)21650.0

×