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 + 47
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Neirynck
1
78 kgBoucher
3
78 kgVan Hoecke
4
78 kgStamegna
5
73 kgCurvers
6
73 kgDe Vreese
8
78 kgThurau
9
73 kgDe Troyer
10
72 kgBurghardt
11
75 kgTsatevich
12
64 kgStannard
13
83 kgBagdonas
14
78 kgPaiani
15
77 kgKneisky
16
68 kgFlecha
17
72 kgJuul-Jensen
18
73 kgKreder
19
67 kgRuijgh
20
64 kgRoelandts
22
78 kgBarle
23
72 kg
1
78 kgBoucher
3
78 kgVan Hoecke
4
78 kgStamegna
5
73 kgCurvers
6
73 kgDe Vreese
8
78 kgThurau
9
73 kgDe Troyer
10
72 kgBurghardt
11
75 kgTsatevich
12
64 kgStannard
13
83 kgBagdonas
14
78 kgPaiani
15
77 kgKneisky
16
68 kgFlecha
17
72 kgJuul-Jensen
18
73 kgKreder
19
67 kgRuijgh
20
64 kgRoelandts
22
78 kgBarle
23
72 kg
Weight (KG) →
Result →
83
64
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NEIRYNCK Stijn | 78 |
| 3 | BOUCHER David | 78 |
| 4 | VAN HOECKE Gijs | 78 |
| 5 | STAMEGNA Sebastian | 73 |
| 6 | CURVERS Roy | 73 |
| 8 | DE VREESE Laurens | 78 |
| 9 | THURAU Björn | 73 |
| 10 | DE TROYER Tim | 72 |
| 11 | BURGHARDT Marcus | 75 |
| 12 | TSATEVICH Alexey | 64 |
| 13 | STANNARD Ian | 83 |
| 14 | BAGDONAS Gediminas | 78 |
| 15 | PAIANI Jean-Lou | 77 |
| 16 | KNEISKY Morgan | 68 |
| 17 | FLECHA Juan Antonio | 72 |
| 18 | JUUL-JENSEN Christopher | 73 |
| 19 | KREDER Michel | 67 |
| 20 | RUIJGH Rob | 64 |
| 22 | ROELANDTS Jürgen | 78 |
| 23 | BARLE Florent | 72 |