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 = 2 * weight - 92
This means that on average for every extra kilogram weight a rider loses 2 positions in the result.
Wellens
3
71 kgBroeckx
7
73 kgKelderman
9
65 kgElissonde
13
52 kgDe Bie
17
65 kgAsselman
18
69 kgSprengers
23
60 kgvan der Haar
31
58 kgVanoverberghe
35
65 kgvan der Lijke
39
61 kgLammertink
43
61 kgWaeytens
44
67 kgEvrard
47
65 kgKreder
53
71 kgDe Troyer
56
72 kgVermote
68
74 kgJans
77
68 kgHelven
85
74 kgDe Vos
93
72 kgDernies
104
68 kg
3
71 kgBroeckx
7
73 kgKelderman
9
65 kgElissonde
13
52 kgDe Bie
17
65 kgAsselman
18
69 kgSprengers
23
60 kgvan der Haar
31
58 kgVanoverberghe
35
65 kgvan der Lijke
39
61 kgLammertink
43
61 kgWaeytens
44
67 kgEvrard
47
65 kgKreder
53
71 kgDe Troyer
56
72 kgVermote
68
74 kgJans
77
68 kgHelven
85
74 kgDe Vos
93
72 kgDernies
104
68 kg
Weight (KG) →
Result →
74
52
3
104
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | WELLENS Tim | 71 |
| 7 | BROECKX Stig | 73 |
| 9 | KELDERMAN Wilco | 65 |
| 13 | ELISSONDE Kenny | 52 |
| 17 | DE BIE Sean | 65 |
| 18 | ASSELMAN Jesper | 69 |
| 23 | SPRENGERS Thomas | 60 |
| 31 | VAN DER HAAR Lars | 58 |
| 35 | VANOVERBERGHE Arthur | 65 |
| 39 | VAN DER LIJKE Nick | 61 |
| 43 | LAMMERTINK Maurits | 61 |
| 44 | WAEYTENS Zico | 67 |
| 47 | EVRARD Laurent | 65 |
| 53 | KREDER Wesley | 71 |
| 56 | DE TROYER Tim | 72 |
| 68 | VERMOTE Alphonse | 74 |
| 77 | JANS Roy | 68 |
| 85 | HELVEN Sander | 74 |
| 93 | DE VOS Gertjan | 72 |
| 104 | DERNIES Tom | 68 |