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 = 0.6 * weight + 3
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Dekkers
2
72 kgVansummeren
3
79 kgvan Leijen
6
73 kgGrosdent
17
74 kgSteurs
20
77 kgHegreberg
29
72 kgvan Hummel
35
64 kgCordes
36
70 kgMouris
37
91 kgDockx
38
64 kgVan Huffel
39
66 kgDe Poortere
53
70 kgde Kort
60
69 kgDe Fauw
65
77 kgBoucher
72
78 kgElijzen
77
80 kgPosthuma
88
76 kgBellemakers
117
75 kg
2
72 kgVansummeren
3
79 kgvan Leijen
6
73 kgGrosdent
17
74 kgSteurs
20
77 kgHegreberg
29
72 kgvan Hummel
35
64 kgCordes
36
70 kgMouris
37
91 kgDockx
38
64 kgVan Huffel
39
66 kgDe Poortere
53
70 kgde Kort
60
69 kgDe Fauw
65
77 kgBoucher
72
78 kgElijzen
77
80 kgPosthuma
88
76 kgBellemakers
117
75 kg
Weight (KG) →
Result →
91
64
2
117
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DEKKERS Hans | 72 |
| 3 | VANSUMMEREN Johan | 79 |
| 6 | VAN LEIJEN Joost | 73 |
| 17 | GROSDENT William | 74 |
| 20 | STEURS Geert | 77 |
| 29 | HEGREBERG Morten | 72 |
| 35 | VAN HUMMEL Kenny | 64 |
| 36 | CORDES Tom | 70 |
| 37 | MOURIS Jens | 91 |
| 38 | DOCKX Bart | 64 |
| 39 | VAN HUFFEL Wim | 66 |
| 53 | DE POORTERE Ingmar | 70 |
| 60 | DE KORT Koen | 69 |
| 65 | DE FAUW Dimitri | 77 |
| 72 | BOUCHER David | 78 |
| 77 | ELIJZEN Michiel | 80 |
| 88 | POSTHUMA Joost | 76 |
| 117 | BELLEMAKERS Dirk | 75 |