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 = -0.4 * weight + 47
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Bérard
1
70 kgKritskiy
3
81 kgWallays
4
77 kgSolomennikov
5
72 kgKasa
7
72 kgHalleguen
8
67 kgSchmidt
11
63 kgDeclercq
15
78 kgTeklehaimanot
16
70 kgLe Bon
22
70 kgSalomein
24
80 kgPetruš
25
58 kgDamuseau
28
64 kgTeychenne
32
68 kgAriesen
33
70 kgAernouts
34
63 kgVenter
40
70 kgKristoff
47
78 kg
1
70 kgKritskiy
3
81 kgWallays
4
77 kgSolomennikov
5
72 kgKasa
7
72 kgHalleguen
8
67 kgSchmidt
11
63 kgDeclercq
15
78 kgTeklehaimanot
16
70 kgLe Bon
22
70 kgSalomein
24
80 kgPetruš
25
58 kgDamuseau
28
64 kgTeychenne
32
68 kgAriesen
33
70 kgAernouts
34
63 kgVenter
40
70 kgKristoff
47
78 kg
Weight (KG) →
Result →
81
58
1
47
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BÉRARD Julien | 70 |
| 3 | KRITSKIY Timofey | 81 |
| 4 | WALLAYS Jelle | 77 |
| 5 | SOLOMENNIKOV Andrei | 72 |
| 7 | KASA Gabor | 72 |
| 8 | HALLEGUEN Mathieu | 67 |
| 11 | SCHMIDT Fabien | 63 |
| 15 | DECLERCQ Tim | 78 |
| 16 | TEKLEHAIMANOT Daniel | 70 |
| 22 | LE BON Johan | 70 |
| 24 | SALOMEIN Jarl | 80 |
| 25 | PETRUŠ Lubomir | 58 |
| 28 | DAMUSEAU Thomas | 64 |
| 32 | TEYCHENNE Mathieu | 68 |
| 33 | ARIESEN Johim | 70 |
| 34 | AERNOUTS Jim | 63 |
| 40 | VENTER Jaco | 70 |
| 47 | KRISTOFF Alexander | 78 |