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.
Antomarchi
1
70 kgRamirez
2
69 kgVan Hecke
3
69 kgFerrari
4
64 kgVoeckler
5
71 kgBlain
6
82 kgGougeard
7
70 kgSlik
8
71 kgGérard
9
70 kgPacher
10
62 kgLammertink
11
61 kgLoubet
12
66 kgJarrier
13
69 kgCoquard
14
59 kgTorres
15
56 kgPichon
16
69 kgMager
17
60 kgDe Troyer
18
72 kgKonovalovas
19
74 kgTheuns
20
72 kgFraile
21
72 kgKerkhof
22
76 kg
1
70 kgRamirez
2
69 kgVan Hecke
3
69 kgFerrari
4
64 kgVoeckler
5
71 kgBlain
6
82 kgGougeard
7
70 kgSlik
8
71 kgGérard
9
70 kgPacher
10
62 kgLammertink
11
61 kgLoubet
12
66 kgJarrier
13
69 kgCoquard
14
59 kgTorres
15
56 kgPichon
16
69 kgMager
17
60 kgDe Troyer
18
72 kgKonovalovas
19
74 kgTheuns
20
72 kgFraile
21
72 kgKerkhof
22
76 kg
Weight (KG) →
Result →
82
56
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANTOMARCHI Julien | 70 |
| 2 | RAMIREZ Brayan Steven | 69 |
| 3 | VAN HECKE Preben | 69 |
| 4 | FERRARI Fabricio | 64 |
| 5 | VOECKLER Thomas | 71 |
| 6 | BLAIN Alexandre | 82 |
| 7 | GOUGEARD Alexis | 70 |
| 8 | SLIK Ivar | 71 |
| 9 | GÉRARD Arnaud | 70 |
| 10 | PACHER Quentin | 62 |
| 11 | LAMMERTINK Maurits | 61 |
| 12 | LOUBET Julien | 66 |
| 13 | JARRIER Benoît | 69 |
| 14 | COQUARD Bryan | 59 |
| 15 | TORRES Rodolfo Andrés | 56 |
| 16 | PICHON Laurent | 69 |
| 17 | MAGER Christian | 60 |
| 18 | DE TROYER Tim | 72 |
| 19 | KONOVALOVAS Ignatas | 74 |
| 20 | THEUNS Edward | 72 |
| 21 | FRAILE Omar | 72 |
| 22 | KERKHOF Tim | 76 |