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 + 1
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Krijnsen
2
73 kgMcNeil
3
57 kgYamada
4
63 kgBarnhill
5
64 kgMijnsbergen
6
68 kgvan Sintmaartensdijk
8
77 kgKooij
11
72 kgKurits
12
74 kgChromy
15
63 kgKhatpin
17
60 kgZhaparuly
22
59 kgDostiyev
24
57 kgZwaan
28
57 kgKawano
30
68 kgBocharov
32
72 kgCajucom
39
60 kgAjis
41
53 kgHusted
57
68 kgSlamzhanov
58
64 kgLi
61
68 kgCarter
67
78 kgThomsen
70
72 kg
2
73 kgMcNeil
3
57 kgYamada
4
63 kgBarnhill
5
64 kgMijnsbergen
6
68 kgvan Sintmaartensdijk
8
77 kgKooij
11
72 kgKurits
12
74 kgChromy
15
63 kgKhatpin
17
60 kgZhaparuly
22
59 kgDostiyev
24
57 kgZwaan
28
57 kgKawano
30
68 kgBocharov
32
72 kgCajucom
39
60 kgAjis
41
53 kgHusted
57
68 kgSlamzhanov
58
64 kgLi
61
68 kgCarter
67
78 kgThomsen
70
72 kg
Weight (KG) →
Result →
78
53
2
70
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KRIJNSEN Jelte | 73 |
| 3 | MCNEIL Aidan | 57 |
| 4 | YAMADA Takumi | 63 |
| 5 | BARNHILL Zac | 64 |
| 6 | MIJNSBERGEN Thomas | 68 |
| 8 | VAN SINTMAARTENSDIJK Roel | 77 |
| 11 | KOOIJ Olav | 72 |
| 12 | KURITS Joonas | 74 |
| 15 | CHROMY Kyle | 63 |
| 17 | KHATPIN Nurzhan | 60 |
| 22 | ZHAPARULY Bauyrzhan | 59 |
| 24 | DOSTIYEV Ilkhan | 57 |
| 28 | ZWAAN Wouter | 57 |
| 30 | KAWANO Aoki | 68 |
| 32 | BOCHAROV Dmitriy | 72 |
| 39 | CAJUCOM Ean | 60 |
| 41 | AJIS Muhammad Hakimi | 53 |
| 57 | HUSTED Eli | 68 |
| 58 | SLAMZHANOV Orken | 64 |
| 61 | LI Ting Wei | 68 |
| 67 | CARTER Nick | 78 |
| 70 | THOMSEN Finn | 72 |