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 = 1.3 * weight - 39
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Ebsen
1
58 kgPujol
2
58 kgFeng
4
69 kgCrawford
5
59 kgDougall
10
72 kgManulang
12
59 kgYamamoto
15
62 kgSaeidi Tanha
17
70 kgWijaya
22
58 kgCahyadi
32
52 kgPriya Prasetya
52
62 kgHirai
70
63 kgSaleh
76
58 kgGoh
77
54 kgNakajima
82
64 kgEdmondson
100
75 kgSaleh
104
70 kg
1
58 kgPujol
2
58 kgFeng
4
69 kgCrawford
5
59 kgDougall
10
72 kgManulang
12
59 kgYamamoto
15
62 kgSaeidi Tanha
17
70 kgWijaya
22
58 kgCahyadi
32
52 kgPriya Prasetya
52
62 kgHirai
70
63 kgSaleh
76
58 kgGoh
77
54 kgNakajima
82
64 kgEdmondson
100
75 kgSaleh
104
70 kg
Weight (KG) →
Result →
75
52
1
104
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EBSEN John | 58 |
| 2 | PUJOL Óscar | 58 |
| 4 | FENG Chun Kai | 69 |
| 5 | CRAWFORD Jai | 59 |
| 10 | DOUGALL Nic | 72 |
| 12 | MANULANG Robin | 59 |
| 15 | YAMAMOTO Genki | 62 |
| 17 | SAEIDI TANHA Abbas | 70 |
| 22 | WIJAYA Endra | 58 |
| 32 | CAHYADI Aiman | 52 |
| 52 | PRIYA PRASETYA Heksa | 62 |
| 70 | HIRAI Eiichi | 63 |
| 76 | SALEH Mohd Zamri | 58 |
| 77 | GOH Choon Huat | 54 |
| 82 | NAKAJIMA Yasuharu | 64 |
| 100 | EDMONDSON Alex | 75 |
| 104 | SALEH Mohd Harrif | 70 |