Нормальный закон распределения вероятностей. Линейная регрессия. Линейная корреляция

29. Построить модель линейной регрессии.

30. Построить модель линейной регрессии.

Ответы:

1. a = 2.5; b = 1.4
2. a = 1,3795; b = 0.6379
3. a = - 8.2499; b = 3.5714
4. a = 10.8285; b = - 1.4857
5. a = 2.3395; b = 0.0338
6. a = 0.9859; b = 0.5428
7. a = 0.3825; b = 0.4705
8. a = 0.2897; b = - 0.0610
9. a = 6.603; b = - 0.6551
10. a = 1.34; b = 0.84
11. a = 4.8933; b = 0.1679
12. a = 9.6; b = - 1.16
13. a = 7.9; b = - 0.6
14. a = - 1.2688; b = 1.2307
15. a = 5.4998; b = - 0.1428
16. a = 4.9808; b = 0.1923
17. a = 3.8143; b = - 0.0117
18. a = 5.3; b = - 0.2
19. a = 4.0315; b = - 0.4538
20. a = 3.7198; b = - 0.0453
21. a = 2.4433; b = 0.3285
22. a = 4.4164; b = - 0.1666
23. a = - 1.3904; b = 1.0574
24. a = 1.1802; b = 2.6227
25. a = 5.9485; b = - 0.2676
26. a = 2.8575; b = 0.4081
27. a = 6.2407; b = - 0.5202
28. a = 9.1125; b = - 0.8375
29. a = 16.6295; b = - 0.1179
30. a = 17.2666; b = - 1.3358.