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 = 0.8 * weight - 42
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Schleck
1
68 kgKreuziger
2
65 kgNibali
3
65 kgMonfort
4
66 kgGonzalo
5
66 kgLöfkvist
6
70 kgAugustyn
7
65 kgVelits
8
63 kgDi Grégorio
9
67 kgSánchez
10
73 kgLowe
11
64 kgFroome
12
68 kgCiolek
13
75 kgBono
14
60 kgBurghardt
15
75 kgRoy
16
70 kgHaussler
17
74 kgLangeveld
18
67 kgGérard
19
70 kgMaaskant
20
76 kgTerpstra
21
75 kgKrauß
22
81 kg
1
68 kgKreuziger
2
65 kgNibali
3
65 kgMonfort
4
66 kgGonzalo
5
66 kgLöfkvist
6
70 kgAugustyn
7
65 kgVelits
8
63 kgDi Grégorio
9
67 kgSánchez
10
73 kgLowe
11
64 kgFroome
12
68 kgCiolek
13
75 kgBono
14
60 kgBurghardt
15
75 kgRoy
16
70 kgHaussler
17
74 kgLangeveld
18
67 kgGérard
19
70 kgMaaskant
20
76 kgTerpstra
21
75 kgKrauß
22
81 kg
Weight (KG) →
Result →
81
60
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHLECK Andy | 68 |
| 2 | KREUZIGER Roman | 65 |
| 3 | NIBALI Vincenzo | 65 |
| 4 | MONFORT Maxime | 66 |
| 5 | GONZALO Eduardo | 66 |
| 6 | LÖFKVIST Thomas | 70 |
| 7 | AUGUSTYN John-Lee | 65 |
| 8 | VELITS Peter | 63 |
| 9 | DI GRÉGORIO Rémy | 67 |
| 10 | SÁNCHEZ Luis León | 73 |
| 11 | LOWE Trent | 64 |
| 12 | FROOME Chris | 68 |
| 13 | CIOLEK Gerald | 75 |
| 14 | BONO Matteo | 60 |
| 15 | BURGHARDT Marcus | 75 |
| 16 | ROY Jérémy | 70 |
| 17 | HAUSSLER Heinrich | 74 |
| 18 | LANGEVELD Sebastian | 67 |
| 19 | GÉRARD Arnaud | 70 |
| 20 | MAASKANT Martijn | 76 |
| 21 | TERPSTRA Niki | 75 |
| 22 | KRAUß Sven | 81 |