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 * weight + 11
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Ista
1
70 kgTraksel
2
72 kgHoogerland
3
65 kgNapolitano
4
81 kgFlahaut
5
66 kgMouris
6
91 kgLodewyck
7
70 kgSentjens
8
75 kgRavard
9
62 kgDe Gendt
10
73 kgvan Hummel
11
64 kgvan Dijk
12
74 kgPoulhiès
13
75 kgKrivtsov
14
72 kgHulsmans
15
75 kgBos
16
77 kgHouanard
17
70 kgSteurs
18
77 kgWeylandt
20
72 kgEeckhout
21
73 kgDocker
22
73 kgCurvers
23
73 kgPütsep
24
69 kg
1
70 kgTraksel
2
72 kgHoogerland
3
65 kgNapolitano
4
81 kgFlahaut
5
66 kgMouris
6
91 kgLodewyck
7
70 kgSentjens
8
75 kgRavard
9
62 kgDe Gendt
10
73 kgvan Hummel
11
64 kgvan Dijk
12
74 kgPoulhiès
13
75 kgKrivtsov
14
72 kgHulsmans
15
75 kgBos
16
77 kgHouanard
17
70 kgSteurs
18
77 kgWeylandt
20
72 kgEeckhout
21
73 kgDocker
22
73 kgCurvers
23
73 kgPütsep
24
69 kg
Weight (KG) →
Result →
91
62
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ISTA Kevyn | 70 |
| 2 | TRAKSEL Bobbie | 72 |
| 3 | HOOGERLAND Johnny | 65 |
| 4 | NAPOLITANO Danilo | 81 |
| 5 | FLAHAUT Denis | 66 |
| 6 | MOURIS Jens | 91 |
| 7 | LODEWYCK Klaas | 70 |
| 8 | SENTJENS Roy | 75 |
| 9 | RAVARD Anthony | 62 |
| 10 | DE GENDT Thomas | 73 |
| 11 | VAN HUMMEL Kenny | 64 |
| 12 | VAN DIJK Stefan | 74 |
| 13 | POULHIÈS Stéphane | 75 |
| 14 | KRIVTSOV Yuriy | 72 |
| 15 | HULSMANS Kevin | 75 |
| 16 | BOS Theo | 77 |
| 17 | HOUANARD Steve | 70 |
| 18 | STEURS Geert | 77 |
| 20 | WEYLANDT Wouter | 72 |
| 21 | EECKHOUT Niko | 73 |
| 22 | DOCKER Mitchell | 73 |
| 23 | CURVERS Roy | 73 |
| 24 | PÜTSEP Erki | 69 |