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 = -0.9 * weight + 88
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Kristoff
3
78 kgKneisky
5
68 kgRoux
8
73 kgStannard
11
83 kgVeilleux
15
75 kgSolomennikov
17
72 kgBonnafond
19
68 kgVenter
20
70 kgRoels
21
75 kgReza
24
71 kgPaiani
25
77 kgKireyev
27
66 kgvan Garderen
28
72 kgTleubayev
29
70 kgBellis
30
69 kgSwift
31
69 kgSilin
32
61 kg
3
78 kgKneisky
5
68 kgRoux
8
73 kgStannard
11
83 kgVeilleux
15
75 kgSolomennikov
17
72 kgBonnafond
19
68 kgVenter
20
70 kgRoels
21
75 kgReza
24
71 kgPaiani
25
77 kgKireyev
27
66 kgvan Garderen
28
72 kgTleubayev
29
70 kgBellis
30
69 kgSwift
31
69 kgSilin
32
61 kg
Weight (KG) →
Result →
83
61
3
32
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | KRISTOFF Alexander | 78 |
| 5 | KNEISKY Morgan | 68 |
| 8 | ROUX Anthony | 73 |
| 11 | STANNARD Ian | 83 |
| 15 | VEILLEUX David | 75 |
| 17 | SOLOMENNIKOV Andrei | 72 |
| 19 | BONNAFOND Guillaume | 68 |
| 20 | VENTER Jaco | 70 |
| 21 | ROELS Dominik | 75 |
| 24 | REZA Kévin | 71 |
| 25 | PAIANI Jean-Lou | 77 |
| 27 | KIREYEV Roman | 66 |
| 28 | VAN GARDEREN Tejay | 72 |
| 29 | TLEUBAYEV Ruslan | 70 |
| 30 | BELLIS Jonathan | 69 |
| 31 | SWIFT Ben | 69 |
| 32 | SILIN Egor | 61 |