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 + 71
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Alizadeh
2
62 kgPark
3
73 kgSeo
9
66 kgShimizu
14
60 kgSai-udomsin
15
60 kgWong
17
65 kgWalker
20
63 kgNikitin
24
61 kgFukushima
29
62 kgYamamoto
44
62 kgSirironnachai
45
61 kgNemati Khiavi
46
60 kgIrvine
49
80 kgGaledo
50
58 kgBoonratanathanakorn
52
72 kgLiphongyu
55
61 kgEbsen
58
58 kgWijaya
89
58 kgPriya Prasetya
91
62 kgPhounsavath
96
67 kgSim
103
64 kg
2
62 kgPark
3
73 kgSeo
9
66 kgShimizu
14
60 kgSai-udomsin
15
60 kgWong
17
65 kgWalker
20
63 kgNikitin
24
61 kgFukushima
29
62 kgYamamoto
44
62 kgSirironnachai
45
61 kgNemati Khiavi
46
60 kgIrvine
49
80 kgGaledo
50
58 kgBoonratanathanakorn
52
72 kgLiphongyu
55
61 kgEbsen
58
58 kgWijaya
89
58 kgPriya Prasetya
91
62 kgPhounsavath
96
67 kgSim
103
64 kg
Weight (KG) →
Result →
80
58
2
103
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ALIZADEH Hossein | 62 |
| 3 | PARK Sung Baek | 73 |
| 9 | SEO Joon Yong | 66 |
| 14 | SHIMIZU Miyataka | 60 |
| 15 | SAI-UDOMSIN Phuchong | 60 |
| 17 | WONG Kam-Po | 65 |
| 20 | WALKER Johnnie | 63 |
| 24 | NIKITIN Matvey | 61 |
| 29 | FUKUSHIMA Shinichi | 62 |
| 44 | YAMAMOTO Genki | 62 |
| 45 | SIRIRONNACHAI Sarawut | 61 |
| 46 | NEMATI KHIAVI Ali | 60 |
| 49 | IRVINE Martyn | 80 |
| 50 | GALEDO Mark John Lexer | 58 |
| 52 | BOONRATANATHANAKORN Turakit | 72 |
| 55 | LIPHONGYU Navuti | 61 |
| 58 | EBSEN John | 58 |
| 89 | WIJAYA Endra | 58 |
| 91 | PRIYA PRASETYA Heksa | 62 |
| 96 | PHOUNSAVATH Ariya | 67 |
| 103 | SIM Teck Kwang Calvin | 64 |