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 + 27
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Dekker
3
69 kgVastaranta
5
63 kgRosseler
6
78 kgCoutouly
13
72 kgSutherland
14
75 kgDuclos-Lassalle
16
63 kgVan Hecke
17
69 kgRenders
21
63 kgVan den Broeck
25
69 kgWeening
29
68 kgMertens
30
67 kgBarbé
33
75 kgDe Vocht
34
78 kgCaethoven
35
67 kgHovelijnck
36
75 kgClement
47
66 kgten Dam
48
67 kg
3
69 kgVastaranta
5
63 kgRosseler
6
78 kgCoutouly
13
72 kgSutherland
14
75 kgDuclos-Lassalle
16
63 kgVan Hecke
17
69 kgRenders
21
63 kgVan den Broeck
25
69 kgWeening
29
68 kgMertens
30
67 kgBarbé
33
75 kgDe Vocht
34
78 kgCaethoven
35
67 kgHovelijnck
36
75 kgClement
47
66 kgten Dam
48
67 kg
Weight (KG) →
Result →
78
63
3
48
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | DEKKER Thomas | 69 |
| 5 | VASTARANTA Jukka | 63 |
| 6 | ROSSELER Sébastien | 78 |
| 13 | COUTOULY Cédric | 72 |
| 14 | SUTHERLAND Rory | 75 |
| 16 | DUCLOS-LASSALLE Hervé | 63 |
| 17 | VAN HECKE Preben | 69 |
| 21 | RENDERS Sven | 63 |
| 25 | VAN DEN BROECK Jurgen | 69 |
| 29 | WEENING Pieter | 68 |
| 30 | MERTENS Pieter | 67 |
| 33 | BARBÉ Koen | 75 |
| 34 | DE VOCHT Wim | 78 |
| 35 | CAETHOVEN Steven | 67 |
| 36 | HOVELIJNCK Kurt | 75 |
| 47 | CLEMENT Stef | 66 |
| 48 | TEN DAM Laurens | 67 |