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 = 0.7 * weight - 31
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Moreau
1
77 kgInduráin
2
76 kgFignon
3
67 kgRoche
4
74 kgChiappucci
5
67 kgWalton
8
68 kgArgentin
10
66 kgEkimov
12
69 kgMuseeuw
15
71 kgLeMond
16
67 kgJalabert
23
66 kgRué
24
74 kgBruyneel
25
71 kgDuclos-Lassalle
27
73 kgHodge
37
74 kgBölts
44
73 kgBugno
45
68 kgRiis
48
71 kgElliott
49
76 kg
1
77 kgInduráin
2
76 kgFignon
3
67 kgRoche
4
74 kgChiappucci
5
67 kgWalton
8
68 kgArgentin
10
66 kgEkimov
12
69 kgMuseeuw
15
71 kgLeMond
16
67 kgJalabert
23
66 kgRué
24
74 kgBruyneel
25
71 kgDuclos-Lassalle
27
73 kgHodge
37
74 kgBölts
44
73 kgBugno
45
68 kgRiis
48
71 kgElliott
49
76 kg
Weight (KG) →
Result →
77
66
1
49
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOREAU Francis | 77 |
| 2 | INDURÁIN Miguel | 76 |
| 3 | FIGNON Laurent | 67 |
| 4 | ROCHE Stephen | 74 |
| 5 | CHIAPPUCCI Claudio | 67 |
| 8 | WALTON Brian | 68 |
| 10 | ARGENTIN Moreno | 66 |
| 12 | EKIMOV Viatcheslav | 69 |
| 15 | MUSEEUW Johan | 71 |
| 16 | LEMOND Greg | 67 |
| 23 | JALABERT Laurent | 66 |
| 24 | RUÉ Gérard | 74 |
| 25 | BRUYNEEL Johan | 71 |
| 27 | DUCLOS-LASSALLE Gilbert | 73 |
| 37 | HODGE Stephen | 74 |
| 44 | BÖLTS Udo | 73 |
| 45 | BUGNO Gianni | 68 |
| 48 | RIIS Bjarne | 71 |
| 49 | ELLIOTT Malcolm | 76 |