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 + 40
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Fredheim
1
72 kgSegaert
2
79 kgVan Mechelen
4
78 kgGrégoire
5
64 kgSvrček
6
66 kgPeatfield
8
76 kgSeguin
9
64 kgLe Huitouze
10
71 kgTarling
13
78 kgHarteel
14
66 kgTachot
16
61 kgKraemer
17
63 kgDe Schampheleire
21
79 kgKällberg
23
69 kgDetalle
29
63 kgBonilla
31
63 kgDockx
34
56 kgGautherat
36
70 kgAvondts
38
62 kgAbma
39
86 kg
1
72 kgSegaert
2
79 kgVan Mechelen
4
78 kgGrégoire
5
64 kgSvrček
6
66 kgPeatfield
8
76 kgSeguin
9
64 kgLe Huitouze
10
71 kgTarling
13
78 kgHarteel
14
66 kgTachot
16
61 kgKraemer
17
63 kgDe Schampheleire
21
79 kgKällberg
23
69 kgDetalle
29
63 kgBonilla
31
63 kgDockx
34
56 kgGautherat
36
70 kgAvondts
38
62 kgAbma
39
86 kg
Weight (KG) →
Result →
86
56
1
39
# | Rider | Weight (KG) |
---|---|---|
1 | FREDHEIM Stian | 72 |
2 | SEGAERT Alec | 79 |
4 | VAN MECHELEN Vlad | 78 |
5 | GRÉGOIRE Romain | 64 |
6 | SVRČEK Martin | 66 |
8 | PEATFIELD Benjamin | 76 |
9 | SEGUIN Yanis | 64 |
10 | LE HUITOUZE Eddy | 71 |
13 | TARLING Joshua | 78 |
14 | HARTEEL Jelle | 66 |
16 | TACHOT Thomas | 61 |
17 | KRAEMER Léo | 63 |
21 | DE SCHAMPHELEIRE Jonas | 79 |
23 | KÄLLBERG Axel | 69 |
29 | DETALLE Noah | 63 |
31 | BONILLA Pablo Sandino | 63 |
34 | DOCKX Aaron | 56 |
36 | GAUTHERAT Pierre | 70 |
38 | AVONDTS Mathis | 62 |
39 | ABMA Elmar | 86 |