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 + 48
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Greipel
1
80 kgBoonen
2
82 kgvan Poppel
3
82 kgTerpstra
4
75 kgSinkeldam
5
77 kgPetit
6
80 kgGilbert
7
75 kgRoelandts
8
78 kgPorsev
9
80 kgVan Staeyen
10
62 kgJacobs
11
68 kgPonzi
12
63 kgArashiro
13
64 kgVan Asbroeck
14
72 kgTsatevich
15
64 kgTleubayev
16
70 kgVantomme
17
63 kgMaes
18
78 kgGavazzi
19
65 kg
1
80 kgBoonen
2
82 kgvan Poppel
3
82 kgTerpstra
4
75 kgSinkeldam
5
77 kgPetit
6
80 kgGilbert
7
75 kgRoelandts
8
78 kgPorsev
9
80 kgVan Staeyen
10
62 kgJacobs
11
68 kgPonzi
12
63 kgArashiro
13
64 kgVan Asbroeck
14
72 kgTsatevich
15
64 kgTleubayev
16
70 kgVantomme
17
63 kgMaes
18
78 kgGavazzi
19
65 kg
Weight (KG) →
Result →
82
62
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GREIPEL André | 80 |
| 2 | BOONEN Tom | 82 |
| 3 | VAN POPPEL Danny | 82 |
| 4 | TERPSTRA Niki | 75 |
| 5 | SINKELDAM Ramon | 77 |
| 6 | PETIT Adrien | 80 |
| 7 | GILBERT Philippe | 75 |
| 8 | ROELANDTS Jürgen | 78 |
| 9 | PORSEV Alexander | 80 |
| 10 | VAN STAEYEN Michael | 62 |
| 11 | JACOBS Pieter | 68 |
| 12 | PONZI Simone | 63 |
| 13 | ARASHIRO Yukiya | 64 |
| 14 | VAN ASBROECK Tom | 72 |
| 15 | TSATEVICH Alexey | 64 |
| 16 | TLEUBAYEV Ruslan | 70 |
| 17 | VANTOMME Maxime | 63 |
| 18 | MAES Nikolas | 78 |
| 19 | GAVAZZI Francesco | 65 |