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 = 1.7 * weight - 73
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Haussler
1
74 kgJurčo
8
69 kgŠtybar
11
68 kgKux
25
74 kgVastaranta
26
63 kgVelits
27
63 kgMartin
29
75 kgTimmer
30
77 kgMatysiak
38
71 kgChristensen
40
69 kgVelits
43
70 kgBole
45
69 kgSørensen
48
64 kgBreschel
50
70 kgKozontchuk
51
75 kgLund
53
65 kgHollenstein
62
80 kgBellemakers
73
75 kgMandri
78
66 kgKocjan
98
72 kgBodnar
102
77 kgBárta
109
75 kg
1
74 kgJurčo
8
69 kgŠtybar
11
68 kgKux
25
74 kgVastaranta
26
63 kgVelits
27
63 kgMartin
29
75 kgTimmer
30
77 kgMatysiak
38
71 kgChristensen
40
69 kgVelits
43
70 kgBole
45
69 kgSørensen
48
64 kgBreschel
50
70 kgKozontchuk
51
75 kgLund
53
65 kgHollenstein
62
80 kgBellemakers
73
75 kgMandri
78
66 kgKocjan
98
72 kgBodnar
102
77 kgBárta
109
75 kg
Weight (KG) →
Result →
80
63
1
109
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAUSSLER Heinrich | 74 |
| 8 | JURČO Matej | 69 |
| 11 | ŠTYBAR Zdeněk | 68 |
| 25 | KUX Christian | 74 |
| 26 | VASTARANTA Jukka | 63 |
| 27 | VELITS Peter | 63 |
| 29 | MARTIN Tony | 75 |
| 30 | TIMMER Albert | 77 |
| 38 | MATYSIAK Bartłomiej | 71 |
| 40 | CHRISTENSEN Mads | 69 |
| 43 | VELITS Martin | 70 |
| 45 | BOLE Grega | 69 |
| 48 | SØRENSEN Chris Anker | 64 |
| 50 | BRESCHEL Matti | 70 |
| 51 | KOZONTCHUK Dmitry | 75 |
| 53 | LUND Anders | 65 |
| 62 | HOLLENSTEIN Reto | 80 |
| 73 | BELLEMAKERS Dirk | 75 |
| 78 | MANDRI René | 66 |
| 98 | KOCJAN Jure | 72 |
| 102 | BODNAR Maciej | 77 |
| 109 | BÁRTA Jan | 75 |