Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 1.7 * weight - 72
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Mestre
1
58 kgStević
7
66 kgCardoso
8
56 kgGerganov
12
60 kgBommel
17
75 kgMestre
21
65 kgCasimiro
24
62 kgHristov
25
57 kgGyurov
26
75 kgMancebo
29
64 kgIgnatenko
39
63 kgSolomennikov
42
72 kgLagkuti
46
68 kgKönig
54
62 kgPetrov
56
66 kgGil Martinez
57
60 kgBenčík
68
73 kgBengsch
69
85 kgBartko
72
78 kgMaikin
75
68 kgGaebel
76
68 kg
1
58 kgStević
7
66 kgCardoso
8
56 kgGerganov
12
60 kgBommel
17
75 kgMestre
21
65 kgCasimiro
24
62 kgHristov
25
57 kgGyurov
26
75 kgMancebo
29
64 kgIgnatenko
39
63 kgSolomennikov
42
72 kgLagkuti
46
68 kgKönig
54
62 kgPetrov
56
66 kgGil Martinez
57
60 kgBenčík
68
73 kgBengsch
69
85 kgBartko
72
78 kgMaikin
75
68 kgGaebel
76
68 kg
Weight (KG) →
Result →
85
56
1
76
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MESTRE Ricardo | 58 |
| 7 | STEVIĆ Ivan | 66 |
| 8 | CARDOSO André | 56 |
| 12 | GERGANOV Evgeni | 60 |
| 17 | BOMMEL Henning | 75 |
| 21 | MESTRE Daniel | 65 |
| 24 | CASIMIRO Henrique | 62 |
| 25 | HRISTOV Stefan Koychev | 57 |
| 26 | GYUROV Spas | 75 |
| 29 | MANCEBO Francisco | 64 |
| 39 | IGNATENKO Petr | 63 |
| 42 | SOLOMENNIKOV Andrei | 72 |
| 46 | LAGKUTI Sergiy | 68 |
| 54 | KÖNIG Leopold | 62 |
| 56 | PETROV Daniel Bogomilov | 66 |
| 57 | GIL MARTINEZ Tomas Aurelio | 60 |
| 68 | BENČÍK Petr | 73 |
| 69 | BENGSCH Robert | 85 |
| 72 | BARTKO Robert | 78 |
| 75 | MAIKIN Roman | 68 |
| 76 | GAEBEL Stefan | 68 |