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 = 1.5 * weight - 36
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Delgado
9
64 kgInduráin
17
76 kgMurguialday
23
58 kgUgrumov
37
58 kgNevens
40
58 kgWechselberger
44
71 kgSukhoruchenkov
46
72 kgAlonso
53
70 kgDomínguez
66
67 kgPagnin
77
74 kgArntz
78
70 kgLlach
81
58 kgRipoll
88
66 kgVilamajo
96
70 kgHolm Sørensen
101
77 kgElliott
110
76 kgJourdan
115
64 kg
9
64 kgInduráin
17
76 kgMurguialday
23
58 kgUgrumov
37
58 kgNevens
40
58 kgWechselberger
44
71 kgSukhoruchenkov
46
72 kgAlonso
53
70 kgDomínguez
66
67 kgPagnin
77
74 kgArntz
78
70 kgLlach
81
58 kgRipoll
88
66 kgVilamajo
96
70 kgHolm Sørensen
101
77 kgElliott
110
76 kgJourdan
115
64 kg
Weight (KG) →
Result →
77
58
9
115
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | DELGADO Pedro | 64 |
| 17 | INDURÁIN Miguel | 76 |
| 23 | MURGUIALDAY Javier | 58 |
| 37 | UGRUMOV Piotr | 58 |
| 40 | NEVENS Jan | 58 |
| 44 | WECHSELBERGER Helmut | 71 |
| 46 | SUKHORUCHENKOV Sergei | 72 |
| 53 | ALONSO Marino | 70 |
| 66 | DOMÍNGUEZ Manuel Jorge | 67 |
| 77 | PAGNIN Roberto | 74 |
| 78 | ARNTZ Marcel | 70 |
| 81 | LLACH Joaquin | 58 |
| 88 | RIPOLL José Andrés | 66 |
| 96 | VILAMAJO Jaime | 70 |
| 101 | HOLM SØRENSEN Brian | 77 |
| 110 | ELLIOTT Malcolm | 76 |
| 115 | JOURDAN Christian | 64 |