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 - 25
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Boonen
1
82 kgKuyckx
3
68 kgLeukemans
5
67 kgVan Huffel
6
66 kgKashechkin
9
70 kgMuravyev
10
75 kgDe Schrooder
30
61 kgAbakoumov
37
68 kgBarbé
45
75 kgWilson
47
72 kgSijmens
79
69 kgVerstraeten
81
65 kgPosthuma
90
76 kgVan Impe
93
75 kgMertens
100
67 kgVan Goolen
102
70 kgSteegmans
103
82 kg
1
82 kgKuyckx
3
68 kgLeukemans
5
67 kgVan Huffel
6
66 kgKashechkin
9
70 kgMuravyev
10
75 kgDe Schrooder
30
61 kgAbakoumov
37
68 kgBarbé
45
75 kgWilson
47
72 kgSijmens
79
69 kgVerstraeten
81
65 kgPosthuma
90
76 kgVan Impe
93
75 kgMertens
100
67 kgVan Goolen
102
70 kgSteegmans
103
82 kg
Weight (KG) →
Result →
82
61
1
103
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOONEN Tom | 82 |
| 3 | KUYCKX Jan | 68 |
| 5 | LEUKEMANS Björn | 67 |
| 6 | VAN HUFFEL Wim | 66 |
| 9 | KASHECHKIN Andrey | 70 |
| 10 | MURAVYEV Dmitriy | 75 |
| 30 | DE SCHROODER Benny | 61 |
| 37 | ABAKOUMOV Igor | 68 |
| 45 | BARBÉ Koen | 75 |
| 47 | WILSON Matthew | 72 |
| 79 | SIJMENS Nico | 69 |
| 81 | VERSTRAETEN Jan | 65 |
| 90 | POSTHUMA Joost | 76 |
| 93 | VAN IMPE Kevin | 75 |
| 100 | MERTENS Pieter | 67 |
| 102 | VAN GOOLEN Jurgen | 70 |
| 103 | STEEGMANS Gert | 82 |