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 = 1.9 * weight - 85
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
Sørensen
1
64 kgKessiakoff
2
61 kgVelits
3
63 kgMamos
4
72 kgWilmann
6
69 kgRasch
13
72 kgLund
20
65 kgVelits
21
70 kgLindgren
27
59 kgVervecken
29
78 kgHegreberg
33
72 kgMortensen
34
70 kgNordhaug
36
63 kgLarsen
43
71 kgVerstraeten
52
65 kgHoogerland
70
65 kgReihs
81
75 kgKlostergaard
107
69 kgPedersen
134
62 kgEichler
149
78 kg
1
64 kgKessiakoff
2
61 kgVelits
3
63 kgMamos
4
72 kgWilmann
6
69 kgRasch
13
72 kgLund
20
65 kgVelits
21
70 kgLindgren
27
59 kgVervecken
29
78 kgHegreberg
33
72 kgMortensen
34
70 kgNordhaug
36
63 kgLarsen
43
71 kgVerstraeten
52
65 kgHoogerland
70
65 kgReihs
81
75 kgKlostergaard
107
69 kgPedersen
134
62 kgEichler
149
78 kg
Weight (KG) →
Result →
78
59
1
149
# | Rider | Weight (KG) |
---|---|---|
1 | SØRENSEN Chris Anker | 64 |
2 | KESSIAKOFF Fredrik | 61 |
3 | VELITS Peter | 63 |
4 | MAMOS Philipp | 72 |
6 | WILMANN Frederik | 69 |
13 | RASCH Gabriel | 72 |
20 | LUND Anders | 65 |
21 | VELITS Martin | 70 |
27 | LINDGREN Emil | 59 |
29 | VERVECKEN Erwin | 78 |
33 | HEGREBERG Morten | 72 |
34 | MORTENSEN Martin | 70 |
36 | NORDHAUG Lars Petter | 63 |
43 | LARSEN Tom | 71 |
52 | VERSTRAETEN Jan | 65 |
70 | HOOGERLAND Johnny | 65 |
81 | REIHS Michael | 75 |
107 | KLOSTERGAARD Kasper | 69 |
134 | PEDERSEN Martin | 62 |
149 | EICHLER Markus | 78 |