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 * weight + 58
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Induráin
1
76 kgDelgado
17
64 kgWinnen
23
60 kgBallerini
24
78 kgAlonso
27
70 kgHodge
28
74 kgFernández
32
68 kgKelly
33
77 kgDomínguez
47
67 kgMurguialday
49
58 kgMauri
54
68 kgGianetti
59
62 kgNavarro
86
77 kgRichard
91
67 kgDemierre
98
70 kgVilamajo
104
70 kgArntz
105
70 kgLeMond
107
67 kgVanderaerden
110
74 kgPrado
112
69 kg
1
76 kgDelgado
17
64 kgWinnen
23
60 kgBallerini
24
78 kgAlonso
27
70 kgHodge
28
74 kgFernández
32
68 kgKelly
33
77 kgDomínguez
47
67 kgMurguialday
49
58 kgMauri
54
68 kgGianetti
59
62 kgNavarro
86
77 kgRichard
91
67 kgDemierre
98
70 kgVilamajo
104
70 kgArntz
105
70 kgLeMond
107
67 kgVanderaerden
110
74 kgPrado
112
69 kg
Weight (KG) →
Result →
78
58
1
112
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | INDURÁIN Miguel | 76 |
| 17 | DELGADO Pedro | 64 |
| 23 | WINNEN Peter | 60 |
| 24 | BALLERINI Franco | 78 |
| 27 | ALONSO Marino | 70 |
| 28 | HODGE Stephen | 74 |
| 32 | FERNÁNDEZ Juan | 68 |
| 33 | KELLY Sean | 77 |
| 47 | DOMÍNGUEZ Manuel Jorge | 67 |
| 49 | MURGUIALDAY Javier | 58 |
| 54 | MAURI Melchor | 68 |
| 59 | GIANETTI Mauro | 62 |
| 86 | NAVARRO Francisco | 77 |
| 91 | RICHARD Pascal | 67 |
| 98 | DEMIERRE Serge | 70 |
| 104 | VILAMAJO Jaime | 70 |
| 105 | ARNTZ Marcel | 70 |
| 107 | LEMOND Greg | 67 |
| 110 | VANDERAERDEN Eric | 74 |
| 112 | PRADO Vicente | 69 |