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 = 0.4 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Piedra
1
61 kgClarke
2
63 kgVanmarcke
3
77 kgSchumacher
5
71 kgGraziato
6
73 kgColli
7
73 kgBystrøm
8
73 kgCardoso
10
56 kgKreder
14
70 kgKvachuk
15
68 kgPreidler
17
68 kgWatson
18
72 kgPütsep
19
69 kgKostyuk
23
66 kgBrôco
25
66 kgKreder
28
67 kgLaengen
30
79 kgAramendia
36
72 kgVerschoor
42
74.5 kgJensen
44
67 kgde la Fuente
45
67 kg
1
61 kgClarke
2
63 kgVanmarcke
3
77 kgSchumacher
5
71 kgGraziato
6
73 kgColli
7
73 kgBystrøm
8
73 kgCardoso
10
56 kgKreder
14
70 kgKvachuk
15
68 kgPreidler
17
68 kgWatson
18
72 kgPütsep
19
69 kgKostyuk
23
66 kgBrôco
25
66 kgKreder
28
67 kgLaengen
30
79 kgAramendia
36
72 kgVerschoor
42
74.5 kgJensen
44
67 kgde la Fuente
45
67 kg
Weight (KG) →
Result →
79
56
1
45
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PIEDRA Antonio | 61 |
| 2 | CLARKE Simon | 63 |
| 3 | VANMARCKE Sep | 77 |
| 5 | SCHUMACHER Stefan | 71 |
| 6 | GRAZIATO Massimo | 73 |
| 7 | COLLI Daniele | 73 |
| 8 | BYSTRØM Sven Erik | 73 |
| 10 | CARDOSO André | 56 |
| 14 | KREDER Raymond | 70 |
| 15 | KVACHUK Oleksandr | 68 |
| 17 | PREIDLER Georg | 68 |
| 18 | WATSON Calvin | 72 |
| 19 | PÜTSEP Erki | 69 |
| 23 | KOSTYUK Denys | 66 |
| 25 | BRÔCO Hernâni | 66 |
| 28 | KREDER Michel | 67 |
| 30 | LAENGEN Vegard Stake | 79 |
| 36 | ARAMENDIA Javier | 72 |
| 42 | VERSCHOOR Martijn | 74.5 |
| 44 | JENSEN August | 67 |
| 45 | DE LA FUENTE David | 67 |