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 = -2.2 * weight + 219
This means that on average for every extra kilogram weight a rider loses -2.2 positions in the result.
Nijdam
2
70 kgRué
7
74 kgMuseeuw
16
71 kgDernies
24
75 kgLilholt
35
72 kgGayant
41
69 kgJalabert
42
66 kgMadouas
44
70 kgBomans
49
74 kgBauer
68
72 kgOvando
78
66 kgBruyneel
84
71 kgCordes
85
70 kgIlegems
95
74 kgHodge
101
74 kgDuclos-Lassalle
104
73 kgGianetti
109
62 kgDemierre
110
70 kg
2
70 kgRué
7
74 kgMuseeuw
16
71 kgDernies
24
75 kgLilholt
35
72 kgGayant
41
69 kgJalabert
42
66 kgMadouas
44
70 kgBomans
49
74 kgBauer
68
72 kgOvando
78
66 kgBruyneel
84
71 kgCordes
85
70 kgIlegems
95
74 kgHodge
101
74 kgDuclos-Lassalle
104
73 kgGianetti
109
62 kgDemierre
110
70 kg
Weight (KG) →
Result →
75
62
2
110
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | NIJDAM Jelle | 70 |
| 7 | RUÉ Gérard | 74 |
| 16 | MUSEEUW Johan | 71 |
| 24 | DERNIES Michel | 75 |
| 35 | LILHOLT Søren | 72 |
| 41 | GAYANT Martial | 69 |
| 42 | JALABERT Laurent | 66 |
| 44 | MADOUAS Laurent | 70 |
| 49 | BOMANS Carlo | 74 |
| 68 | BAUER Steve | 72 |
| 78 | OVANDO Rolando | 66 |
| 84 | BRUYNEEL Johan | 71 |
| 85 | CORDES Tom | 70 |
| 95 | ILEGEMS Roger | 74 |
| 101 | HODGE Stephen | 74 |
| 104 | DUCLOS-LASSALLE Gilbert | 73 |
| 109 | GIANETTI Mauro | 62 |
| 110 | DEMIERRE Serge | 70 |