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 + 4
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Bourgoyne
1
66 kgKrijnsen
2
73 kgMcNeil
3
57 kgYamada
5
63 kgBarnhill
7
64 kgKooij
8
72 kgMijnsbergen
9
68 kgvan Sintmaartensdijk
11
77 kgChromy
13
63 kgKurits
14
74 kgKhatpin
18
60 kgZwaan
26
57 kgKawano
30
68 kgBocharov
33
72 kgZhaparuly
36
59 kgCajucom
37
60 kgAjis
44
53 kgDostiyev
46
57 kgSlamzhanov
69
64 kgHusted
72
68 kgLi
74
68 kgCarter
79
78 kgThomsen
85
72 kg
1
66 kgKrijnsen
2
73 kgMcNeil
3
57 kgYamada
5
63 kgBarnhill
7
64 kgKooij
8
72 kgMijnsbergen
9
68 kgvan Sintmaartensdijk
11
77 kgChromy
13
63 kgKurits
14
74 kgKhatpin
18
60 kgZwaan
26
57 kgKawano
30
68 kgBocharov
33
72 kgZhaparuly
36
59 kgCajucom
37
60 kgAjis
44
53 kgDostiyev
46
57 kgSlamzhanov
69
64 kgHusted
72
68 kgLi
74
68 kgCarter
79
78 kgThomsen
85
72 kg
Weight (KG) →
Result →
78
53
1
85
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOURGOYNE Lucas | 66 |
| 2 | KRIJNSEN Jelte | 73 |
| 3 | MCNEIL Aidan | 57 |
| 5 | YAMADA Takumi | 63 |
| 7 | BARNHILL Zac | 64 |
| 8 | KOOIJ Olav | 72 |
| 9 | MIJNSBERGEN Thomas | 68 |
| 11 | VAN SINTMAARTENSDIJK Roel | 77 |
| 13 | CHROMY Kyle | 63 |
| 14 | KURITS Joonas | 74 |
| 18 | KHATPIN Nurzhan | 60 |
| 26 | ZWAAN Wouter | 57 |
| 30 | KAWANO Aoki | 68 |
| 33 | BOCHAROV Dmitriy | 72 |
| 36 | ZHAPARULY Bauyrzhan | 59 |
| 37 | CAJUCOM Ean | 60 |
| 44 | AJIS Muhammad Hakimi | 53 |
| 46 | DOSTIYEV Ilkhan | 57 |
| 69 | SLAMZHANOV Orken | 64 |
| 72 | HUSTED Eli | 68 |
| 74 | LI Ting Wei | 68 |
| 79 | CARTER Nick | 78 |
| 85 | THOMSEN Finn | 72 |