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 = 0.5 * weight + 5
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Pedersen
1
62 kgReihs
5
75 kgRasch
6
72 kgMamos
10
72 kgVelits
12
63 kgNordhaug
23
63 kgKessiakoff
25
61 kgSørensen
27
64 kgLund
34
65 kgMortensen
35
70 kgVelits
38
70 kgHoogerland
39
65 kgVervecken
40
78 kgWilmann
47
69 kgKlostergaard
60
69 kgHegreberg
62
72 kgLindgren
67
59 kgLarsen
71
71 kgEichler
72
78 kgVerstraeten
85
65 kg
1
62 kgReihs
5
75 kgRasch
6
72 kgMamos
10
72 kgVelits
12
63 kgNordhaug
23
63 kgKessiakoff
25
61 kgSørensen
27
64 kgLund
34
65 kgMortensen
35
70 kgVelits
38
70 kgHoogerland
39
65 kgVervecken
40
78 kgWilmann
47
69 kgKlostergaard
60
69 kgHegreberg
62
72 kgLindgren
67
59 kgLarsen
71
71 kgEichler
72
78 kgVerstraeten
85
65 kg
Weight (KG) →
Result →
78
59
1
85
# | Rider | Weight (KG) |
---|---|---|
1 | PEDERSEN Martin | 62 |
5 | REIHS Michael | 75 |
6 | RASCH Gabriel | 72 |
10 | MAMOS Philipp | 72 |
12 | VELITS Peter | 63 |
23 | NORDHAUG Lars Petter | 63 |
25 | KESSIAKOFF Fredrik | 61 |
27 | SØRENSEN Chris Anker | 64 |
34 | LUND Anders | 65 |
35 | MORTENSEN Martin | 70 |
38 | VELITS Martin | 70 |
39 | HOOGERLAND Johnny | 65 |
40 | VERVECKEN Erwin | 78 |
47 | WILMANN Frederik | 69 |
60 | KLOSTERGAARD Kasper | 69 |
62 | HEGREBERG Morten | 72 |
67 | LINDGREN Emil | 59 |
71 | LARSEN Tom | 71 |
72 | EICHLER Markus | 78 |
85 | VERSTRAETEN Jan | 65 |