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 = 0.3 * weight + 15
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Vandousselaere
3
71 kgSicard
9
63 kgMironov
10
68 kgCastroviejo
12
62 kgFofonov
14
65 kgForke
16
78 kgNerz
17
67 kgIglinskiy
22
68 kgLamoisson
24
69 kgGruzdev
27
78 kgPorsev
30
80 kgLindeman
35
69 kgDe Neef
36
75 kgSchets
37
74 kgPatanchon
45
69 kgShushemoin
48
62 kgBär
53
66 kgDe Poortere
59
70 kgSesma
60
70 kgDelage
79
70 kgSchiewer
83
70 kg
3
71 kgSicard
9
63 kgMironov
10
68 kgCastroviejo
12
62 kgFofonov
14
65 kgForke
16
78 kgNerz
17
67 kgIglinskiy
22
68 kgLamoisson
24
69 kgGruzdev
27
78 kgPorsev
30
80 kgLindeman
35
69 kgDe Neef
36
75 kgSchets
37
74 kgPatanchon
45
69 kgShushemoin
48
62 kgBär
53
66 kgDe Poortere
59
70 kgSesma
60
70 kgDelage
79
70 kgSchiewer
83
70 kg
Weight (KG) →
Result →
80
62
3
83
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | VANDOUSSELAERE Sven | 71 |
| 9 | SICARD Romain | 63 |
| 10 | MIRONOV Alexander | 68 |
| 12 | CASTROVIEJO Jonathan | 62 |
| 14 | FOFONOV Dmitriy | 65 |
| 16 | FORKE Sebastian | 78 |
| 17 | NERZ Dominik | 67 |
| 22 | IGLINSKIY Valentin | 68 |
| 24 | LAMOISSON Morgan | 69 |
| 27 | GRUZDEV Dmitriy | 78 |
| 30 | PORSEV Alexander | 80 |
| 35 | LINDEMAN Bert-Jan | 69 |
| 36 | DE NEEF Steven | 75 |
| 37 | SCHETS Steve | 74 |
| 45 | PATANCHON Fabien | 69 |
| 48 | SHUSHEMOIN Alexandr | 62 |
| 53 | BÄR Michael | 66 |
| 59 | DE POORTERE Ingmar | 70 |
| 60 | SESMA Daniel | 70 |
| 79 | DELAGE Mickaël | 70 |
| 83 | SCHIEWER Franz | 70 |