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 = 0.5 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Cox
3
62 kgWeening
5
68 kgHovelijnck
7
75 kgKohl
8
61 kgVastaranta
9
63 kgGeorge
10
61 kgKannemeyer
11
67 kgGlasner
12
72 kgErmeti
13
60 kgHelminen
14
74 kgBerthou
16
72 kgVisconti
18
63 kgVeuchelen
19
75 kgFailli
20
65 kgGiling
21
72 kgde Maar
23
70 kgScheuneman
24
75 kgBichot
25
67 kgAernouts
27
60 kgLorenzetto
28
71 kgEichler
29
78 kg
3
62 kgWeening
5
68 kgHovelijnck
7
75 kgKohl
8
61 kgVastaranta
9
63 kgGeorge
10
61 kgKannemeyer
11
67 kgGlasner
12
72 kgErmeti
13
60 kgHelminen
14
74 kgBerthou
16
72 kgVisconti
18
63 kgVeuchelen
19
75 kgFailli
20
65 kgGiling
21
72 kgde Maar
23
70 kgScheuneman
24
75 kgBichot
25
67 kgAernouts
27
60 kgLorenzetto
28
71 kgEichler
29
78 kg
Weight (KG) →
Result →
78
60
3
29
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | COX Ryan | 62 |
| 5 | WEENING Pieter | 68 |
| 7 | HOVELIJNCK Kurt | 75 |
| 8 | KOHL Bernhard | 61 |
| 9 | VASTARANTA Jukka | 63 |
| 10 | GEORGE David | 61 |
| 11 | KANNEMEYER Tiaan | 67 |
| 12 | GLASNER Björn | 72 |
| 13 | ERMETI Giairo | 60 |
| 14 | HELMINEN Matti | 74 |
| 16 | BERTHOU Eric | 72 |
| 18 | VISCONTI Giovanni | 63 |
| 19 | VEUCHELEN Frederik | 75 |
| 20 | FAILLI Francesco | 65 |
| 21 | GILING Bas | 72 |
| 23 | DE MAAR Marc | 70 |
| 24 | SCHEUNEMAN Niels | 75 |
| 25 | BICHOT Freddy | 67 |
| 27 | AERNOUTS Bart | 60 |
| 28 | LORENZETTO Mirco | 71 |
| 29 | EICHLER Markus | 78 |