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 = -0.5 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Breen
2
74 kgJakin
3
71 kgO'Shea
4
76 kgTronet
7
67 kgGodrie
8
74 kgBaugnies
9
69 kgBarbier
13
79 kgPardini
14
68 kgBoudat
15
70 kgKneisky
16
68 kgGardeyn
18
75 kgJérôme
20
65 kgSilvestre
21
78 kgTurgis
22
70 kgStassen
23
66 kgKern
27
72 kgLeroux
30
79 kgTulik
31
64 kgMalacarne
34
73 kgHirt
35
62 kg
2
74 kgJakin
3
71 kgO'Shea
4
76 kgTronet
7
67 kgGodrie
8
74 kgBaugnies
9
69 kgBarbier
13
79 kgPardini
14
68 kgBoudat
15
70 kgKneisky
16
68 kgGardeyn
18
75 kgJérôme
20
65 kgSilvestre
21
78 kgTurgis
22
70 kgStassen
23
66 kgKern
27
72 kgLeroux
30
79 kgTulik
31
64 kgMalacarne
34
73 kgHirt
35
62 kg
Weight (KG) →
Result →
79
62
2
35
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BREEN Vegard | 74 |
| 3 | JAKIN Alo | 71 |
| 4 | O'SHEA Glenn | 76 |
| 7 | TRONET Steven | 67 |
| 8 | GODRIE Stan | 74 |
| 9 | BAUGNIES Jérôme | 69 |
| 13 | BARBIER Rudy | 79 |
| 14 | PARDINI Olivier | 68 |
| 15 | BOUDAT Thomas | 70 |
| 16 | KNEISKY Morgan | 68 |
| 18 | GARDEYN Gorik | 75 |
| 20 | JÉRÔME Vincent | 65 |
| 21 | SILVESTRE Fábio | 78 |
| 22 | TURGIS Anthony | 70 |
| 23 | STASSEN Julien | 66 |
| 27 | KERN Christophe | 72 |
| 30 | LEROUX Samuel | 79 |
| 31 | TULIK Angélo | 64 |
| 34 | MALACARNE Gael | 73 |
| 35 | HIRT Jan | 62 |