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 + 57
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Breen
1
74 kgSilvestre
3
78 kgJakin
4
71 kgO'Shea
5
76 kgJérôme
6
65 kgGodrie
8
74 kgTurgis
9
63 kgBarbier
11
79 kgTronet
12
67 kgGardeyn
13
75 kgBaugnies
14
69 kgIturria
15
69 kgPardini
16
68 kgKneisky
17
68 kgThevenot
19
69 kgStassen
21
66 kgKern
25
72 kgLeroux
26
79 kgBosman
28
68 kgTulik
29
64 kgMalacarne
31
73 kgHirt
32
62 kg
1
74 kgSilvestre
3
78 kgJakin
4
71 kgO'Shea
5
76 kgJérôme
6
65 kgGodrie
8
74 kgTurgis
9
63 kgBarbier
11
79 kgTronet
12
67 kgGardeyn
13
75 kgBaugnies
14
69 kgIturria
15
69 kgPardini
16
68 kgKneisky
17
68 kgThevenot
19
69 kgStassen
21
66 kgKern
25
72 kgLeroux
26
79 kgBosman
28
68 kgTulik
29
64 kgMalacarne
31
73 kgHirt
32
62 kg
Weight (KG) →
Result →
79
62
1
32
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BREEN Vegard | 74 |
| 3 | SILVESTRE Fábio | 78 |
| 4 | JAKIN Alo | 71 |
| 5 | O'SHEA Glenn | 76 |
| 6 | JÉRÔME Vincent | 65 |
| 8 | GODRIE Stan | 74 |
| 9 | TURGIS Jimmy | 63 |
| 11 | BARBIER Rudy | 79 |
| 12 | TRONET Steven | 67 |
| 13 | GARDEYN Gorik | 75 |
| 14 | BAUGNIES Jérôme | 69 |
| 15 | ITURRIA Mikel | 69 |
| 16 | PARDINI Olivier | 68 |
| 17 | KNEISKY Morgan | 68 |
| 19 | THEVENOT Guillaume | 69 |
| 21 | STASSEN Julien | 66 |
| 25 | KERN Christophe | 72 |
| 26 | LEROUX Samuel | 79 |
| 28 | BOSMAN Gert-Jan | 68 |
| 29 | TULIK Angélo | 64 |
| 31 | MALACARNE Gael | 73 |
| 32 | HIRT Jan | 62 |