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 = -0.2 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Nazon
2
68 kgCapelle
4
73 kgPagliarini
6
68 kgHunt
7
76 kgNazon
9
74 kgMartín Perdiguero
10
63 kgBäckstedt
14
94 kgRadochla
15
70 kgCretskens
16
75 kgTrenti
17
68 kgCasper
19
69 kgLöwik
20
72 kgColombo
21
70 kgLoddo
22
60 kgFagnini
23
70 kgMengin
26
68 kgJalabert
27
66 kgSchumacher
29
71 kgRenier
30
69 kg
2
68 kgCapelle
4
73 kgPagliarini
6
68 kgHunt
7
76 kgNazon
9
74 kgMartín Perdiguero
10
63 kgBäckstedt
14
94 kgRadochla
15
70 kgCretskens
16
75 kgTrenti
17
68 kgCasper
19
69 kgLöwik
20
72 kgColombo
21
70 kgLoddo
22
60 kgFagnini
23
70 kgMengin
26
68 kgJalabert
27
66 kgSchumacher
29
71 kgRenier
30
69 kg
Weight (KG) →
Result →
94
60
2
30
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | NAZON Damien | 68 |
| 4 | CAPELLE Christophe | 73 |
| 6 | PAGLIARINI Luciano André | 68 |
| 7 | HUNT Jeremy | 76 |
| 9 | NAZON Jean-Patrick | 74 |
| 10 | MARTÍN PERDIGUERO Miguel Ángel | 63 |
| 14 | BÄCKSTEDT Magnus | 94 |
| 15 | RADOCHLA Steffen | 70 |
| 16 | CRETSKENS Wilfried | 75 |
| 17 | TRENTI Guido | 68 |
| 19 | CASPER Jimmy | 69 |
| 20 | LÖWIK Gerben | 72 |
| 21 | COLOMBO Gabriele | 70 |
| 22 | LODDO Alberto | 60 |
| 23 | FAGNINI Gian Matteo | 70 |
| 26 | MENGIN Christophe | 68 |
| 27 | JALABERT Laurent | 66 |
| 29 | SCHUMACHER Stefan | 71 |
| 30 | RENIER Franck | 69 |