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 + 15
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Baguet
1
67 kgMuravyev
4
75 kgEdaleine
5
62 kgVan De Walle
6
74 kgVestøl
8
85 kgScheirlinckx
9
67 kgKashechkin
11
70 kgTombak
13
71 kgMarichal
15
72 kgStreel
18
69 kgPeers
20
73 kgDe Groote
21
71 kgHulsmans
23
75 kgAbakoumov
24
68 kgPlanckaert
25
70 kgHammond
26
71 kgLeukemans
27
67 kgChadwick
28
75 kg
1
67 kgMuravyev
4
75 kgEdaleine
5
62 kgVan De Walle
6
74 kgVestøl
8
85 kgScheirlinckx
9
67 kgKashechkin
11
70 kgTombak
13
71 kgMarichal
15
72 kgStreel
18
69 kgPeers
20
73 kgDe Groote
21
71 kgHulsmans
23
75 kgAbakoumov
24
68 kgPlanckaert
25
70 kgHammond
26
71 kgLeukemans
27
67 kgChadwick
28
75 kg
Weight (KG) →
Result →
85
62
1
28
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAGUET Serge | 67 |
| 4 | MURAVYEV Dmitriy | 75 |
| 5 | EDALEINE Christophe | 62 |
| 6 | VAN DE WALLE Jurgen | 74 |
| 8 | VESTØL Bjørnar | 85 |
| 9 | SCHEIRLINCKX Bert | 67 |
| 11 | KASHECHKIN Andrey | 70 |
| 13 | TOMBAK Janek | 71 |
| 15 | MARICHAL Thierry | 72 |
| 18 | STREEL Marc | 69 |
| 20 | PEERS Chris | 73 |
| 21 | DE GROOTE Thierry | 71 |
| 23 | HULSMANS Kevin | 75 |
| 24 | ABAKOUMOV Igor | 68 |
| 25 | PLANCKAERT Jo | 70 |
| 26 | HAMMOND Roger | 71 |
| 27 | LEUKEMANS Björn | 67 |
| 28 | CHADWICK Glen Alan | 75 |