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 + 50
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Vauquelin
1
69 kgLe Berre
4
68 kgVerschuren
5
54 kgLaurance
8
63 kgBaudin
11
64 kgToumire
15
69 kgCoqueret
17
69 kgMichel
20
72 kgStevant
22
65 kgPenhoët
23
64 kgSenicourt
31
64 kgCostiou
54
64 kgRouland
56
55 kgPage
60
71 kgThomas
64
61 kgMahoudo
68
61 kgCailliau
73
61 kgTronchon
75
72 kgPaleni
78
65 kgBénéteau
81
58 kgTrastour
84
75 kg
1
69 kgLe Berre
4
68 kgVerschuren
5
54 kgLaurance
8
63 kgBaudin
11
64 kgToumire
15
69 kgCoqueret
17
69 kgMichel
20
72 kgStevant
22
65 kgPenhoët
23
64 kgSenicourt
31
64 kgCostiou
54
64 kgRouland
56
55 kgPage
60
71 kgThomas
64
61 kgMahoudo
68
61 kgCailliau
73
61 kgTronchon
75
72 kgPaleni
78
65 kgBénéteau
81
58 kgTrastour
84
75 kg
Weight (KG) →
Result →
75
54
1
84
# | Rider | Weight (KG) |
---|---|---|
1 | VAUQUELIN Kévin | 69 |
4 | LE BERRE Mathis | 68 |
5 | VERSCHUREN Killian | 54 |
8 | LAURANCE Axel | 63 |
11 | BAUDIN Alex | 64 |
15 | TOUMIRE Hugo | 69 |
17 | COQUERET Louis | 69 |
20 | MICHEL Simon | 72 |
22 | STEVANT Malo | 65 |
23 | PENHOËT Paul | 64 |
31 | SENICOURT Kylian | 64 |
54 | COSTIOU Ewen | 64 |
56 | ROULAND Louis | 55 |
60 | PAGE Hugo | 71 |
64 | THOMAS Théo | 61 |
68 | MAHOUDO Nolann | 61 |
73 | CAILLIAU Taïno | 61 |
75 | TRONCHON Bastien | 72 |
78 | PALENI Enzo | 65 |
81 | BÉNÉTEAU Lucas | 58 |
84 | TRASTOUR Loris | 75 |