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.
Shimizu
2
60 kgBoonratanathanakorn
11
72 kgNikitin
15
61 kgAlizadeh
17
62 kgSeo
18
66 kgWong
26
65 kgNemati Khiavi
30
60 kgEbsen
33
58 kgFukushima
39
62 kgSai-udomsin
54
60 kgWalker
55
63 kgPriya Prasetya
57
62 kgGaledo
58
58 kgPark
59
73 kgWijaya
64
58 kgPhounsavath
68
67 kgLiphongyu
71
61 kgSirironnachai
73
61 kgSim
79
64 kg
2
60 kgBoonratanathanakorn
11
72 kgNikitin
15
61 kgAlizadeh
17
62 kgSeo
18
66 kgWong
26
65 kgNemati Khiavi
30
60 kgEbsen
33
58 kgFukushima
39
62 kgSai-udomsin
54
60 kgWalker
55
63 kgPriya Prasetya
57
62 kgGaledo
58
58 kgPark
59
73 kgWijaya
64
58 kgPhounsavath
68
67 kgLiphongyu
71
61 kgSirironnachai
73
61 kgSim
79
64 kg
Weight (KG) →
Result →
73
58
2
79
# | Rider | Weight (KG) |
---|---|---|
2 | SHIMIZU Miyataka | 60 |
11 | BOONRATANATHANAKORN Turakit | 72 |
15 | NIKITIN Matvey | 61 |
17 | ALIZADEH Hossein | 62 |
18 | SEO Joon Yong | 66 |
26 | WONG Kam-Po | 65 |
30 | NEMATI KHIAVI Ali | 60 |
33 | EBSEN John | 58 |
39 | FUKUSHIMA Shinichi | 62 |
54 | SAI-UDOMSIN Phuchong | 60 |
55 | WALKER Johnnie | 63 |
57 | PRIYA PRASETYA Heksa | 62 |
58 | GALEDO Mark John Lexer | 58 |
59 | PARK Sung Baek | 73 |
64 | WIJAYA Endra | 58 |
68 | PHOUNSAVATH Ariya | 67 |
71 | LIPHONGYU Navuti | 61 |
73 | SIRIRONNACHAI Sarawut | 61 |
79 | SIM Teck Kwang Calvin | 64 |