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 = -1.1 * weight + 115
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Rasch
3
71 kgHeiderscheid
4
73 kgGroß
6
71 kgWirtgen
10
63 kgBerg
13
75 kgNolde
16
79 kgVan Poucke
25
68 kgPrangel
26
74 kgVillalobos
28
66 kgPakalski
29
74 kgClauss
31
71 kgRudolph
37
64 kgLippmann
39
75 kgLeknessund
40
72 kgApers
42
70 kgSchelling
47
66 kgRöber
48
68 kgForssell
51
86 kgSankmann
65
64 kgAndersen
78
56 kgGressier
82
67 kgBouts
96
72 kg
3
71 kgHeiderscheid
4
73 kgGroß
6
71 kgWirtgen
10
63 kgBerg
13
75 kgNolde
16
79 kgVan Poucke
25
68 kgPrangel
26
74 kgVillalobos
28
66 kgPakalski
29
74 kgClauss
31
71 kgRudolph
37
64 kgLippmann
39
75 kgLeknessund
40
72 kgApers
42
70 kgSchelling
47
66 kgRöber
48
68 kgForssell
51
86 kgSankmann
65
64 kgAndersen
78
56 kgGressier
82
67 kgBouts
96
72 kg
Weight (KG) →
Result →
86
56
3
96
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | RASCH Jesper | 71 |
| 4 | HEIDERSCHEID Colin | 73 |
| 6 | GROß Felix | 71 |
| 10 | WIRTGEN Luc | 63 |
| 13 | BERG Mads Schelde | 75 |
| 16 | NOLDE Tobias | 79 |
| 25 | VAN POUCKE Aaron | 68 |
| 26 | PRANGEL Kristo | 74 |
| 28 | VILLALOBOS Luis | 66 |
| 29 | PAKALSKI Henrik | 74 |
| 31 | CLAUSS Marc | 71 |
| 37 | RUDOLPH Poul | 64 |
| 39 | LIPPMANN Axel | 75 |
| 40 | LEKNESSUND Andreas | 72 |
| 42 | APERS Ruben | 70 |
| 47 | SCHELLING Ide | 66 |
| 48 | RÖBER Dominik | 68 |
| 51 | FORSSELL Hugo | 86 |
| 65 | SANKMANN Joosep | 64 |
| 78 | ANDERSEN Sander | 56 |
| 82 | GRESSIER Maxime | 67 |
| 96 | BOUTS Jens | 72 |