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 * weight + 118
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
Induráin
2
76 kgHodge
7
74 kgKelly
9
77 kgDomínguez
11
67 kgGianetti
12
62 kgSaronni
29
65 kgBallerini
34
78 kgDelgado
49
64 kgWinnen
55
60 kgMauri
56
68 kgMurguialday
65
58 kgFernández
69
68 kgAlonso
72
70 kgLeMond
91
67 kgNavarro
94
77 kgRichard
96
67 kgDemierre
99
70 kgPrado
106
69 kg
2
76 kgHodge
7
74 kgKelly
9
77 kgDomínguez
11
67 kgGianetti
12
62 kgSaronni
29
65 kgBallerini
34
78 kgDelgado
49
64 kgWinnen
55
60 kgMauri
56
68 kgMurguialday
65
58 kgFernández
69
68 kgAlonso
72
70 kgLeMond
91
67 kgNavarro
94
77 kgRichard
96
67 kgDemierre
99
70 kgPrado
106
69 kg
Weight (KG) →
Result →
78
58
2
106
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | INDURÁIN Miguel | 76 |
| 7 | HODGE Stephen | 74 |
| 9 | KELLY Sean | 77 |
| 11 | DOMÍNGUEZ Manuel Jorge | 67 |
| 12 | GIANETTI Mauro | 62 |
| 29 | SARONNI Giuseppe | 65 |
| 34 | BALLERINI Franco | 78 |
| 49 | DELGADO Pedro | 64 |
| 55 | WINNEN Peter | 60 |
| 56 | MAURI Melchor | 68 |
| 65 | MURGUIALDAY Javier | 58 |
| 69 | FERNÁNDEZ Juan | 68 |
| 72 | ALONSO Marino | 70 |
| 91 | LEMOND Greg | 67 |
| 94 | NAVARRO Francisco | 77 |
| 96 | RICHARD Pascal | 67 |
| 99 | DEMIERRE Serge | 70 |
| 106 | PRADO Vicente | 69 |