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 * weight - 23
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Reijnen
6
63 kgFukuda
11
70 kgWijaya
18
58 kgLiphongyu
20
61 kgPriya Prasetya
21
62 kgBoonratanathanakorn
25
72 kgSai-udomsin
26
60 kgMcCann
41
73 kgUchima
52
63 kgZakharov
54
70 kgOjavee
56
80 kgSuzuki
57
57 kgFriedman
68
82 kgRoutley
70
69 kgXu
73
69 kgHatanaka
74
72 kgGaledo
77
58 kg
6
63 kgFukuda
11
70 kgWijaya
18
58 kgLiphongyu
20
61 kgPriya Prasetya
21
62 kgBoonratanathanakorn
25
72 kgSai-udomsin
26
60 kgMcCann
41
73 kgUchima
52
63 kgZakharov
54
70 kgOjavee
56
80 kgSuzuki
57
57 kgFriedman
68
82 kgRoutley
70
69 kgXu
73
69 kgHatanaka
74
72 kgGaledo
77
58 kg
Weight (KG) →
Result →
82
57
6
77
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | REIJNEN Kiel | 63 |
| 11 | FUKUDA Shinpei | 70 |
| 18 | WIJAYA Endra | 58 |
| 20 | LIPHONGYU Navuti | 61 |
| 21 | PRIYA PRASETYA Heksa | 62 |
| 25 | BOONRATANATHANAKORN Turakit | 72 |
| 26 | SAI-UDOMSIN Phuchong | 60 |
| 41 | MCCANN David | 73 |
| 52 | UCHIMA Kohei | 63 |
| 54 | ZAKHAROV Artyom | 70 |
| 56 | OJAVEE Mart | 80 |
| 57 | SUZUKI Yuzuru | 57 |
| 68 | FRIEDMAN Michael | 82 |
| 70 | ROUTLEY Will | 69 |
| 73 | XU Gang | 69 |
| 74 | HATANAKA Yusuke | 72 |
| 77 | GALEDO Mark John Lexer | 58 |