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 = 0.7 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Schets
3
74 kgAaen Jørgensen
4
63 kgFofonov
5
65 kgCastroviejo
6
62 kgVandousselaere
7
71 kgIglinskiy
8
68 kgMironov
9
68 kgNerz
16
67 kgSicard
17
63 kgGruzdev
19
78 kgPorsev
28
80 kgForke
30
78 kgLamoisson
31
69 kgShushemoin
40
62 kgDe Neef
48
75 kgLindeman
51
69 kgBär
55
66 kgPatanchon
58
69 kgDe Poortere
67
70 kgSchiewer
71
70 kgSesma
72
70 kgDelage
75
70 kg
3
74 kgAaen Jørgensen
4
63 kgFofonov
5
65 kgCastroviejo
6
62 kgVandousselaere
7
71 kgIglinskiy
8
68 kgMironov
9
68 kgNerz
16
67 kgSicard
17
63 kgGruzdev
19
78 kgPorsev
28
80 kgForke
30
78 kgLamoisson
31
69 kgShushemoin
40
62 kgDe Neef
48
75 kgLindeman
51
69 kgBär
55
66 kgPatanchon
58
69 kgDe Poortere
67
70 kgSchiewer
71
70 kgSesma
72
70 kgDelage
75
70 kg
Weight (KG) →
Result →
80
62
3
75
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SCHETS Steve | 74 |
| 4 | AAEN JØRGENSEN Jonas | 63 |
| 5 | FOFONOV Dmitriy | 65 |
| 6 | CASTROVIEJO Jonathan | 62 |
| 7 | VANDOUSSELAERE Sven | 71 |
| 8 | IGLINSKIY Valentin | 68 |
| 9 | MIRONOV Alexander | 68 |
| 16 | NERZ Dominik | 67 |
| 17 | SICARD Romain | 63 |
| 19 | GRUZDEV Dmitriy | 78 |
| 28 | PORSEV Alexander | 80 |
| 30 | FORKE Sebastian | 78 |
| 31 | LAMOISSON Morgan | 69 |
| 40 | SHUSHEMOIN Alexandr | 62 |
| 48 | DE NEEF Steven | 75 |
| 51 | LINDEMAN Bert-Jan | 69 |
| 55 | BÄR Michael | 66 |
| 58 | PATANCHON Fabien | 69 |
| 67 | DE POORTERE Ingmar | 70 |
| 71 | SCHIEWER Franz | 70 |
| 72 | SESMA Daniel | 70 |
| 75 | DELAGE Mickaël | 70 |