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 = -0.1 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Segaert
1
79 kgRafferty
2
65 kgLe Huitouze
3
71 kgWang
5
70 kgRousset-Favier
6
57 kgKervinen
7
65 kgPlace
10
58 kgVerbrugghe
12
64 kgSavino
13
70 kgRolland
14
59 kgIsidore
16
67 kgDelaunay
18
70 kgMagnier
19
70 kgJacques
23
67 kgKaļveršs
25
78 kgDetalle
26
63 kgTachot
31
61 kg
1
79 kgRafferty
2
65 kgLe Huitouze
3
71 kgWang
5
70 kgRousset-Favier
6
57 kgKervinen
7
65 kgPlace
10
58 kgVerbrugghe
12
64 kgSavino
13
70 kgRolland
14
59 kgIsidore
16
67 kgDelaunay
18
70 kgMagnier
19
70 kgJacques
23
67 kgKaļveršs
25
78 kgDetalle
26
63 kgTachot
31
61 kg
Weight (KG) →
Result →
79
57
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEGAERT Alec | 79 |
| 2 | RAFFERTY Darren | 65 |
| 3 | LE HUITOUZE Eddy | 71 |
| 5 | WANG Gustav | 70 |
| 6 | ROUSSET-FAVIER Nicolas | 57 |
| 7 | KERVINEN Leevi | 65 |
| 10 | PLACE Maxence | 58 |
| 12 | VERBRUGGHE Jens | 64 |
| 13 | SAVINO Federico | 70 |
| 14 | ROLLAND Brieuc | 59 |
| 16 | ISIDORE Noa | 67 |
| 18 | DELAUNAY Estevan | 70 |
| 19 | MAGNIER Paul | 70 |
| 23 | JACQUES Lucas | 67 |
| 25 | KAĻVERŠS Matīss | 78 |
| 26 | DETALLE Noah | 63 |
| 31 | TACHOT Thomas | 61 |