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 = 1.8 * weight - 73
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
Crawford
2
59 kgFeng
3
69 kgSaleh
4
58 kgYamamoto
10
62 kgNakajima
14
64 kgPujol
16
58 kgEbsen
18
58 kgManulang
20
59 kgCahyadi
29
52 kgDougall
36
72 kgPriya Prasetya
47
62 kgHirai
52
63 kgWijaya
53
58 kgSaeidi Tanha
64
70 kgGoh
69
54 kgEdmondson
76
75 kgSaleh
107
70 kg
2
59 kgFeng
3
69 kgSaleh
4
58 kgYamamoto
10
62 kgNakajima
14
64 kgPujol
16
58 kgEbsen
18
58 kgManulang
20
59 kgCahyadi
29
52 kgDougall
36
72 kgPriya Prasetya
47
62 kgHirai
52
63 kgWijaya
53
58 kgSaeidi Tanha
64
70 kgGoh
69
54 kgEdmondson
76
75 kgSaleh
107
70 kg
Weight (KG) →
Result →
75
52
2
107
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CRAWFORD Jai | 59 |
| 3 | FENG Chun Kai | 69 |
| 4 | SALEH Mohd Zamri | 58 |
| 10 | YAMAMOTO Genki | 62 |
| 14 | NAKAJIMA Yasuharu | 64 |
| 16 | PUJOL Óscar | 58 |
| 18 | EBSEN John | 58 |
| 20 | MANULANG Robin | 59 |
| 29 | CAHYADI Aiman | 52 |
| 36 | DOUGALL Nic | 72 |
| 47 | PRIYA PRASETYA Heksa | 62 |
| 52 | HIRAI Eiichi | 63 |
| 53 | WIJAYA Endra | 58 |
| 64 | SAEIDI TANHA Abbas | 70 |
| 69 | GOH Choon Huat | 54 |
| 76 | EDMONDSON Alex | 75 |
| 107 | SALEH Mohd Harrif | 70 |