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 = 2.4 * weight - 121
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
Velits
1
63 kgKozontchuk
2
75 kgVelits
3
70 kgHaussler
5
74 kgJurčo
7
69 kgMandri
13
66 kgVastaranta
21
63 kgŠtybar
32
68 kgMartin
34
75 kgKux
36
74 kgTimmer
39
77 kgMatysiak
45
71 kgBreschel
58
70 kgLund
62
65 kgBárta
64
75 kgSørensen
65
64 kgChristensen
68
69 kgBellemakers
71
75 kgBole
73
69 kgBodnar
78
77 kgKocjan
109
72 kgHollenstein
114
80 kg
1
63 kgKozontchuk
2
75 kgVelits
3
70 kgHaussler
5
74 kgJurčo
7
69 kgMandri
13
66 kgVastaranta
21
63 kgŠtybar
32
68 kgMartin
34
75 kgKux
36
74 kgTimmer
39
77 kgMatysiak
45
71 kgBreschel
58
70 kgLund
62
65 kgBárta
64
75 kgSørensen
65
64 kgChristensen
68
69 kgBellemakers
71
75 kgBole
73
69 kgBodnar
78
77 kgKocjan
109
72 kgHollenstein
114
80 kg
Weight (KG) →
Result →
80
63
1
114
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VELITS Peter | 63 |
| 2 | KOZONTCHUK Dmitry | 75 |
| 3 | VELITS Martin | 70 |
| 5 | HAUSSLER Heinrich | 74 |
| 7 | JURČO Matej | 69 |
| 13 | MANDRI René | 66 |
| 21 | VASTARANTA Jukka | 63 |
| 32 | ŠTYBAR Zdeněk | 68 |
| 34 | MARTIN Tony | 75 |
| 36 | KUX Christian | 74 |
| 39 | TIMMER Albert | 77 |
| 45 | MATYSIAK Bartłomiej | 71 |
| 58 | BRESCHEL Matti | 70 |
| 62 | LUND Anders | 65 |
| 64 | BÁRTA Jan | 75 |
| 65 | SØRENSEN Chris Anker | 64 |
| 68 | CHRISTENSEN Mads | 69 |
| 71 | BELLEMAKERS Dirk | 75 |
| 73 | BOLE Grega | 69 |
| 78 | BODNAR Maciej | 77 |
| 109 | KOCJAN Jure | 72 |
| 114 | HOLLENSTEIN Reto | 80 |