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 = -3.2 * weight + 252
This means that on average for every extra kilogram weight a rider loses -3.2 positions in the result.
Grégoire
1
64 kgTronchon
2
72 kgCostiou
7
64 kgGautherat
8
70 kgMahoudo
10
61 kgRollée
13
73 kgLabrosse
15
65 kgCardoso
26
68 kgKraemer
33
63 kgSanlaville
38
61 kgPaleni
48
65 kgHennequin
70
64 kgSeguin
71
64 kgDevroute
72
71 kgLe Huitouze
76
71 kgRouland
81
55 kgStevant
87
65 kgBénéteau
97
58 kgMartinez
113
52 kg
1
64 kgTronchon
2
72 kgCostiou
7
64 kgGautherat
8
70 kgMahoudo
10
61 kgRollée
13
73 kgLabrosse
15
65 kgCardoso
26
68 kgKraemer
33
63 kgSanlaville
38
61 kgPaleni
48
65 kgHennequin
70
64 kgSeguin
71
64 kgDevroute
72
71 kgLe Huitouze
76
71 kgRouland
81
55 kgStevant
87
65 kgBénéteau
97
58 kgMartinez
113
52 kg
Weight (KG) →
Result →
73
52
1
113
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GRÉGOIRE Romain | 64 |
| 2 | TRONCHON Bastien | 72 |
| 7 | COSTIOU Ewen | 64 |
| 8 | GAUTHERAT Pierre | 70 |
| 10 | MAHOUDO Nolann | 61 |
| 13 | ROLLÉE Thibault | 73 |
| 15 | LABROSSE Jordan | 65 |
| 26 | CARDOSO Louis | 68 |
| 33 | KRAEMER Léo | 63 |
| 38 | SANLAVILLE Mathias | 61 |
| 48 | PALENI Enzo | 65 |
| 70 | HENNEQUIN Paul | 64 |
| 71 | SEGUIN Yanis | 64 |
| 72 | DEVROUTE Corentin | 71 |
| 76 | LE HUITOUZE Eddy | 71 |
| 81 | ROULAND Louis | 55 |
| 87 | STEVANT Malo | 65 |
| 97 | BÉNÉTEAU Lucas | 58 |
| 113 | MARTINEZ Lenny | 52 |