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 = -0.4 * weight + 36
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Dehaes
1
73 kgHovelijnck
2
75 kgPineau
4
68 kgGabriel
5
60 kgChavanel
6
77 kgBessy
7
65 kgWynants
8
74 kgVerbist
10
73 kgScarselli
12
67 kgMartinez
13
67 kgVan De Walle
14
74 kgSutton
15
67 kgDelpech
16
72 kgPauwels
17
65 kgGalland
18
62 kgVelits
19
63 kgCoutouly
20
72 kgVasseur
21
70 kg
1
73 kgHovelijnck
2
75 kgPineau
4
68 kgGabriel
5
60 kgChavanel
6
77 kgBessy
7
65 kgWynants
8
74 kgVerbist
10
73 kgScarselli
12
67 kgMartinez
13
67 kgVan De Walle
14
74 kgSutton
15
67 kgDelpech
16
72 kgPauwels
17
65 kgGalland
18
62 kgVelits
19
63 kgCoutouly
20
72 kgVasseur
21
70 kg
Weight (KG) →
Result →
77
60
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEHAES Kenny | 73 |
| 2 | HOVELIJNCK Kurt | 75 |
| 4 | PINEAU Cédric | 68 |
| 5 | GABRIEL Frédéric | 60 |
| 6 | CHAVANEL Sébastien | 77 |
| 7 | BESSY Frédéric | 65 |
| 8 | WYNANTS Maarten | 74 |
| 10 | VERBIST Evert | 73 |
| 12 | SCARSELLI Leonardo | 67 |
| 13 | MARTINEZ José Alberto | 67 |
| 14 | VAN DE WALLE Jurgen | 74 |
| 15 | SUTTON Chris | 67 |
| 16 | DELPECH Jean-Luc | 72 |
| 17 | PAUWELS Serge | 65 |
| 18 | GALLAND Jérémie | 62 |
| 19 | VELITS Peter | 63 |
| 20 | COUTOULY Cédric | 72 |
| 21 | VASSEUR Cédric | 70 |