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 = 0.1 * weight + 24
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Sivakov
1
70 kgLambrecht
2
56 kgVanhoucke
3
65 kgGall
4
66 kgZimmermann
6
70 kgGamper
7
80 kgHirschi
8
61 kgJacobs
9
78 kgPhilipsen
12
75 kgPrimožič
15
60 kgRies
20
67 kgBeullens
21
79 kgClauss
26
71 kgRombouts
27
63 kgWirtgen
29
63 kgKovács
34
71 kgBouwmans
38
64 kgDevos
50
75 kgFranz
54
60 kgNolde
56
79 kgRajović
60
74 kgGroß
70
71 kgvan Niekerk
73
59 kgKulset
74
68 kg
1
70 kgLambrecht
2
56 kgVanhoucke
3
65 kgGall
4
66 kgZimmermann
6
70 kgGamper
7
80 kgHirschi
8
61 kgJacobs
9
78 kgPhilipsen
12
75 kgPrimožič
15
60 kgRies
20
67 kgBeullens
21
79 kgClauss
26
71 kgRombouts
27
63 kgWirtgen
29
63 kgKovács
34
71 kgBouwmans
38
64 kgDevos
50
75 kgFranz
54
60 kgNolde
56
79 kgRajović
60
74 kgGroß
70
71 kgvan Niekerk
73
59 kgKulset
74
68 kg
Weight (KG) →
Result →
80
56
1
74
# | Rider | Weight (KG) |
---|---|---|
1 | SIVAKOV Pavel | 70 |
2 | LAMBRECHT Bjorg | 56 |
3 | VANHOUCKE Harm | 65 |
4 | GALL Felix | 66 |
6 | ZIMMERMANN Georg | 70 |
7 | GAMPER Patrick | 80 |
8 | HIRSCHI Marc | 61 |
9 | JACOBS Johan | 78 |
12 | PHILIPSEN Jasper | 75 |
15 | PRIMOŽIČ Jaka | 60 |
20 | RIES Michel | 67 |
21 | BEULLENS Cedric | 79 |
26 | CLAUSS Marc | 71 |
27 | ROMBOUTS Seppe | 63 |
29 | WIRTGEN Luc | 63 |
34 | KOVÁCS Dávid | 71 |
38 | BOUWMANS Dylan | 64 |
50 | DEVOS Han | 75 |
54 | FRANZ Toni | 60 |
56 | NOLDE Tobias | 79 |
60 | RAJOVIĆ Dušan | 74 |
70 | GROß Felix | 71 |
73 | VAN NIEKERK Aidan | 59 |
74 | KULSET Sindre | 68 |