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 = 1.3 * weight - 29
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
le Boulanger
4
70 kgJégou
9
71 kgKilleen
24
65 kgHernández Blázquez
32
58 kgBeckingsale
35
63 kgde Kort
38
69 kgMazur
40
73 kgFothen
45
71 kgContador
46
61 kgScheuneman
47
75 kgGadret
48
58 kgBichot
51
67 kgCalzati
68
68 kgHoogerland
73
65 kgSánchez
86
73 kgCordes
93
70 kgDe Fauw
97
77 kgvan Hummel
102
64 kgDietziker
107
67 kgDekkers
108
72 kg
4
70 kgJégou
9
71 kgKilleen
24
65 kgHernández Blázquez
32
58 kgBeckingsale
35
63 kgde Kort
38
69 kgMazur
40
73 kgFothen
45
71 kgContador
46
61 kgScheuneman
47
75 kgGadret
48
58 kgBichot
51
67 kgCalzati
68
68 kgHoogerland
73
65 kgSánchez
86
73 kgCordes
93
70 kgDe Fauw
97
77 kgvan Hummel
102
64 kgDietziker
107
67 kgDekkers
108
72 kg
Weight (KG) →
Result →
77
58
4
108
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | LE BOULANGER Yoann | 70 |
| 9 | JÉGOU Lilian | 71 |
| 24 | KILLEEN Liam | 65 |
| 32 | HERNÁNDEZ BLÁZQUEZ Jesús | 58 |
| 35 | BECKINGSALE Oliver | 63 |
| 38 | DE KORT Koen | 69 |
| 40 | MAZUR Peter | 73 |
| 45 | FOTHEN Thomas | 71 |
| 46 | CONTADOR Alberto | 61 |
| 47 | SCHEUNEMAN Niels | 75 |
| 48 | GADRET John | 58 |
| 51 | BICHOT Freddy | 67 |
| 68 | CALZATI Sylvain | 68 |
| 73 | HOOGERLAND Johnny | 65 |
| 86 | SÁNCHEZ Luis León | 73 |
| 93 | CORDES Tom | 70 |
| 97 | DE FAUW Dimitri | 77 |
| 102 | VAN HUMMEL Kenny | 64 |
| 107 | DIETZIKER Andreas | 67 |
| 108 | DEKKERS Hans | 72 |