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 + 4
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Villalobos
2
66 kgApers
3
70 kgLeknessund
6
72 kgSchelling
7
66 kgNolde
11
79 kgHeiderscheid
13
73 kgRöber
24
68 kgVan Poucke
27
68 kgAndersen
31
56 kgRudolph
33
64 kgClauss
34
71 kgPakalski
35
74 kgLippmann
42
75 kgGressier
44
67 kgPrangel
47
74 kgBerg
53
75 kgRasch
58
71 kgSankmann
59
64 kgForssell
61
86 kgWirtgen
66
63 kgGroß
78
71 kgBouts
96
72 kg
2
66 kgApers
3
70 kgLeknessund
6
72 kgSchelling
7
66 kgNolde
11
79 kgHeiderscheid
13
73 kgRöber
24
68 kgVan Poucke
27
68 kgAndersen
31
56 kgRudolph
33
64 kgClauss
34
71 kgPakalski
35
74 kgLippmann
42
75 kgGressier
44
67 kgPrangel
47
74 kgBerg
53
75 kgRasch
58
71 kgSankmann
59
64 kgForssell
61
86 kgWirtgen
66
63 kgGroß
78
71 kgBouts
96
72 kg
Weight (KG) →
Result →
86
56
2
96
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VILLALOBOS Luis | 66 |
| 3 | APERS Ruben | 70 |
| 6 | LEKNESSUND Andreas | 72 |
| 7 | SCHELLING Ide | 66 |
| 11 | NOLDE Tobias | 79 |
| 13 | HEIDERSCHEID Colin | 73 |
| 24 | RÖBER Dominik | 68 |
| 27 | VAN POUCKE Aaron | 68 |
| 31 | ANDERSEN Sander | 56 |
| 33 | RUDOLPH Poul | 64 |
| 34 | CLAUSS Marc | 71 |
| 35 | PAKALSKI Henrik | 74 |
| 42 | LIPPMANN Axel | 75 |
| 44 | GRESSIER Maxime | 67 |
| 47 | PRANGEL Kristo | 74 |
| 53 | BERG Mads Schelde | 75 |
| 58 | RASCH Jesper | 71 |
| 59 | SANKMANN Joosep | 64 |
| 61 | FORSSELL Hugo | 86 |
| 66 | WIRTGEN Luc | 63 |
| 78 | GROß Felix | 71 |
| 96 | BOUTS Jens | 72 |