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 = -2.3 * weight + 183
This means that on average for every extra kilogram weight a rider loses -2.3 positions in the result.
Glasner
1
72 kgCrawford
2
59 kgAskari
4
73 kgPark
10
73 kgMizbani
16
67 kgAbe
17
67 kgSaeidi Tanha
19
70 kgSohrabi
23
69 kgWijaya
26
58 kgManulang
27
59 kgWu
32
68 kgSai-udomsin
41
60 kgZargari
47
62 kgMukaigawa
51
64 kgWong
63
65 kgSaleh
73
58 kgPriya Prasetya
74
62 kg
1
72 kgCrawford
2
59 kgAskari
4
73 kgPark
10
73 kgMizbani
16
67 kgAbe
17
67 kgSaeidi Tanha
19
70 kgSohrabi
23
69 kgWijaya
26
58 kgManulang
27
59 kgWu
32
68 kgSai-udomsin
41
60 kgZargari
47
62 kgMukaigawa
51
64 kgWong
63
65 kgSaleh
73
58 kgPriya Prasetya
74
62 kg
Weight (KG) →
Result →
73
58
1
74
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GLASNER Björn | 72 |
| 2 | CRAWFORD Jai | 59 |
| 4 | ASKARI Hossein | 73 |
| 10 | PARK Sung Baek | 73 |
| 16 | MIZBANI Ghader | 67 |
| 17 | ABE Yoshiyuki | 67 |
| 19 | SAEIDI TANHA Abbas | 70 |
| 23 | SOHRABI Mehdi | 69 |
| 26 | WIJAYA Endra | 58 |
| 27 | MANULANG Robin | 59 |
| 32 | WU Kin San | 68 |
| 41 | SAI-UDOMSIN Phuchong | 60 |
| 47 | ZARGARI Amir | 62 |
| 51 | MUKAIGAWA Naoki | 64 |
| 63 | WONG Kam-Po | 65 |
| 73 | SALEH Mohd Zamri | 58 |
| 74 | PRIYA PRASETYA Heksa | 62 |