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 = 4.3 * weight - 271
This means that on average for every extra kilogram weight a rider loses 4.3 positions in the result.
Kozontchuk
2
75 kgVelits
3
63 kgŠtybar
4
68 kgHaussler
5
74 kgLund
6
65 kgBreschel
8
70 kgMartin
11
75 kgMandri
13
66 kgJurčo
14
69 kgBole
15
69 kgVastaranta
22
63 kgTimmer
32
77 kgVelits
37
70 kgChristensen
38
69 kgMatysiak
39
71 kgKocjan
52
72 kgKux
56
74 kgBárta
70
75 kgBellemakers
89
75 kgHollenstein
99
80 kgBodnar
100
77 kg
2
75 kgVelits
3
63 kgŠtybar
4
68 kgHaussler
5
74 kgLund
6
65 kgBreschel
8
70 kgMartin
11
75 kgMandri
13
66 kgJurčo
14
69 kgBole
15
69 kgVastaranta
22
63 kgTimmer
32
77 kgVelits
37
70 kgChristensen
38
69 kgMatysiak
39
71 kgKocjan
52
72 kgKux
56
74 kgBárta
70
75 kgBellemakers
89
75 kgHollenstein
99
80 kgBodnar
100
77 kg
Weight (KG) →
Result →
80
63
2
100
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KOZONTCHUK Dmitry | 75 |
| 3 | VELITS Peter | 63 |
| 4 | ŠTYBAR Zdeněk | 68 |
| 5 | HAUSSLER Heinrich | 74 |
| 6 | LUND Anders | 65 |
| 8 | BRESCHEL Matti | 70 |
| 11 | MARTIN Tony | 75 |
| 13 | MANDRI René | 66 |
| 14 | JURČO Matej | 69 |
| 15 | BOLE Grega | 69 |
| 22 | VASTARANTA Jukka | 63 |
| 32 | TIMMER Albert | 77 |
| 37 | VELITS Martin | 70 |
| 38 | CHRISTENSEN Mads | 69 |
| 39 | MATYSIAK Bartłomiej | 71 |
| 52 | KOCJAN Jure | 72 |
| 56 | KUX Christian | 74 |
| 70 | BÁRTA Jan | 75 |
| 89 | BELLEMAKERS Dirk | 75 |
| 99 | HOLLENSTEIN Reto | 80 |
| 100 | BODNAR Maciej | 77 |