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 = 1.1 * weight - 52
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Martin
1
75 kgVelits
4
63 kgJurčo
5
69 kgVastaranta
6
63 kgChristensen
7
69 kgKozontchuk
8
75 kgBreschel
9
70 kgHaussler
11
74 kgBodnar
12
77 kgTimmer
14
77 kgKux
15
74 kgBole
17
69 kgVelits
22
70 kgMatysiak
26
71 kgBellemakers
28
75 kgŠtybar
31
68 kgMandri
37
66 kgLund
46
65 kgSørensen
49
64 kgHollenstein
78
80 kgBárta
103
75 kgKocjan
109
72 kg
1
75 kgVelits
4
63 kgJurčo
5
69 kgVastaranta
6
63 kgChristensen
7
69 kgKozontchuk
8
75 kgBreschel
9
70 kgHaussler
11
74 kgBodnar
12
77 kgTimmer
14
77 kgKux
15
74 kgBole
17
69 kgVelits
22
70 kgMatysiak
26
71 kgBellemakers
28
75 kgŠtybar
31
68 kgMandri
37
66 kgLund
46
65 kgSørensen
49
64 kgHollenstein
78
80 kgBárta
103
75 kgKocjan
109
72 kg
Weight (KG) →
Result →
80
63
1
109
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARTIN Tony | 75 |
| 4 | VELITS Peter | 63 |
| 5 | JURČO Matej | 69 |
| 6 | VASTARANTA Jukka | 63 |
| 7 | CHRISTENSEN Mads | 69 |
| 8 | KOZONTCHUK Dmitry | 75 |
| 9 | BRESCHEL Matti | 70 |
| 11 | HAUSSLER Heinrich | 74 |
| 12 | BODNAR Maciej | 77 |
| 14 | TIMMER Albert | 77 |
| 15 | KUX Christian | 74 |
| 17 | BOLE Grega | 69 |
| 22 | VELITS Martin | 70 |
| 26 | MATYSIAK Bartłomiej | 71 |
| 28 | BELLEMAKERS Dirk | 75 |
| 31 | ŠTYBAR Zdeněk | 68 |
| 37 | MANDRI René | 66 |
| 46 | LUND Anders | 65 |
| 49 | SØRENSEN Chris Anker | 64 |
| 78 | HOLLENSTEIN Reto | 80 |
| 103 | BÁRTA Jan | 75 |
| 109 | KOCJAN Jure | 72 |