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 = -1.4 * weight + 142
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Pedersen
1
62 kgVelits
4
63 kgOjavee
5
80 kgVervecken
8
78 kgHegreberg
17
72 kgReihs
20
75 kgNordhaug
24
63 kgVerstraeten
25
65 kgEichler
26
78 kgKlostergaard
31
69 kgRasch
45
72 kgLund
47
65 kgMamos
56
72 kgHoogerland
69
65 kgKessiakoff
70
61 kgLindgren
71
59 kgVelits
77
70 kgLarsen
78
71 kgWilmann
84
69 kgSørensen
89
64 kgMortensen
120
70 kg
1
62 kgVelits
4
63 kgOjavee
5
80 kgVervecken
8
78 kgHegreberg
17
72 kgReihs
20
75 kgNordhaug
24
63 kgVerstraeten
25
65 kgEichler
26
78 kgKlostergaard
31
69 kgRasch
45
72 kgLund
47
65 kgMamos
56
72 kgHoogerland
69
65 kgKessiakoff
70
61 kgLindgren
71
59 kgVelits
77
70 kgLarsen
78
71 kgWilmann
84
69 kgSørensen
89
64 kgMortensen
120
70 kg
Weight (KG) →
Result →
80
59
1
120
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PEDERSEN Martin | 62 |
| 4 | VELITS Peter | 63 |
| 5 | OJAVEE Mart | 80 |
| 8 | VERVECKEN Erwin | 78 |
| 17 | HEGREBERG Morten | 72 |
| 20 | REIHS Michael | 75 |
| 24 | NORDHAUG Lars Petter | 63 |
| 25 | VERSTRAETEN Jan | 65 |
| 26 | EICHLER Markus | 78 |
| 31 | KLOSTERGAARD Kasper | 69 |
| 45 | RASCH Gabriel | 72 |
| 47 | LUND Anders | 65 |
| 56 | MAMOS Philipp | 72 |
| 69 | HOOGERLAND Johnny | 65 |
| 70 | KESSIAKOFF Fredrik | 61 |
| 71 | LINDGREN Emil | 59 |
| 77 | VELITS Martin | 70 |
| 78 | LARSEN Tom | 71 |
| 84 | WILMANN Frederik | 69 |
| 89 | SØRENSEN Chris Anker | 64 |
| 120 | MORTENSEN Martin | 70 |