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.
Pedersen
1
62 kgHegreberg
4
72 kgRasch
7
72 kgHoogerland
11
65 kgVerstraeten
12
65 kgVelits
13
63 kgVervecken
15
78 kgReihs
17
75 kgKessiakoff
23
61 kgNordhaug
29
63 kgKlostergaard
33
69 kgWilmann
34
69 kgVelits
39
70 kgSørensen
49
64 kgLindgren
50
59 kgMortensen
56
70 kgEichler
63
78 kgLarsen
77
71 kgLund
101
65 kgMamos
118
72 kgOjavee
152
80 kg
1
62 kgHegreberg
4
72 kgRasch
7
72 kgHoogerland
11
65 kgVerstraeten
12
65 kgVelits
13
63 kgVervecken
15
78 kgReihs
17
75 kgKessiakoff
23
61 kgNordhaug
29
63 kgKlostergaard
33
69 kgWilmann
34
69 kgVelits
39
70 kgSørensen
49
64 kgLindgren
50
59 kgMortensen
56
70 kgEichler
63
78 kgLarsen
77
71 kgLund
101
65 kgMamos
118
72 kgOjavee
152
80 kg
Weight (KG) →
Result →
80
59
1
152
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PEDERSEN Martin | 62 |
| 4 | HEGREBERG Morten | 72 |
| 7 | RASCH Gabriel | 72 |
| 11 | HOOGERLAND Johnny | 65 |
| 12 | VERSTRAETEN Jan | 65 |
| 13 | VELITS Peter | 63 |
| 15 | VERVECKEN Erwin | 78 |
| 17 | REIHS Michael | 75 |
| 23 | KESSIAKOFF Fredrik | 61 |
| 29 | NORDHAUG Lars Petter | 63 |
| 33 | KLOSTERGAARD Kasper | 69 |
| 34 | WILMANN Frederik | 69 |
| 39 | VELITS Martin | 70 |
| 49 | SØRENSEN Chris Anker | 64 |
| 50 | LINDGREN Emil | 59 |
| 56 | MORTENSEN Martin | 70 |
| 63 | EICHLER Markus | 78 |
| 77 | LARSEN Tom | 71 |
| 101 | LUND Anders | 65 |
| 118 | MAMOS Philipp | 72 |
| 152 | OJAVEE Mart | 80 |