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 = 1.8 * weight - 68
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
Induráin
3
76 kgMurguialday
18
58 kgWinnen
19
60 kgLlach
23
58 kgSergeant
24
76 kgCordes
30
70 kgEscartín
33
61 kgMujika
37
73 kgOvando
49
66 kgTolhoek
52
63 kgYates
69
74 kgDomínguez
70
67 kgRipoll
74
66 kgGarmendia
77
68 kgMauri
78
68 kgCaroli
88
77 kgCabello
91
72 kgVilamajo
93
70 kgNavarro
102
77 kgWalton
104
68 kg
3
76 kgMurguialday
18
58 kgWinnen
19
60 kgLlach
23
58 kgSergeant
24
76 kgCordes
30
70 kgEscartín
33
61 kgMujika
37
73 kgOvando
49
66 kgTolhoek
52
63 kgYates
69
74 kgDomínguez
70
67 kgRipoll
74
66 kgGarmendia
77
68 kgMauri
78
68 kgCaroli
88
77 kgCabello
91
72 kgVilamajo
93
70 kgNavarro
102
77 kgWalton
104
68 kg
Weight (KG) →
Result →
77
58
3
104
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | INDURÁIN Miguel | 76 |
| 18 | MURGUIALDAY Javier | 58 |
| 19 | WINNEN Peter | 60 |
| 23 | LLACH Joaquin | 58 |
| 24 | SERGEANT Marc | 76 |
| 30 | CORDES Tom | 70 |
| 33 | ESCARTÍN Fernando | 61 |
| 37 | MUJIKA Jokin | 73 |
| 49 | OVANDO Rolando | 66 |
| 52 | TOLHOEK Patrick | 63 |
| 69 | YATES Sean | 74 |
| 70 | DOMÍNGUEZ Manuel Jorge | 67 |
| 74 | RIPOLL José Andrés | 66 |
| 77 | GARMENDIA Aitor | 68 |
| 78 | MAURI Melchor | 68 |
| 88 | CAROLI Daniele | 77 |
| 91 | CABELLO Francisco | 72 |
| 93 | VILAMAJO Jaime | 70 |
| 102 | NAVARRO Francisco | 77 |
| 104 | WALTON Brian | 68 |