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 * weight + 157
This means that on average for every extra kilogram weight a rider loses -2 positions in the result.
Park
3
73 kgWalker
9
63 kgSai-udomsin
10
60 kgSirironnachai
11
61 kgWong
12
65 kgLiphongyu
16
61 kgShimizu
17
60 kgSeo
19
66 kgPriya Prasetya
25
62 kgAlizadeh
28
62 kgBoonratanathanakorn
30
72 kgNikitin
35
61 kgYamamoto
46
62 kgEbsen
49
58 kgPhounsavath
50
67 kgWijaya
59
58 kgSim
65
64 kgGaledo
66
58 kgNemati Khiavi
71
60 kgFukushima
72
62 kg
3
73 kgWalker
9
63 kgSai-udomsin
10
60 kgSirironnachai
11
61 kgWong
12
65 kgLiphongyu
16
61 kgShimizu
17
60 kgSeo
19
66 kgPriya Prasetya
25
62 kgAlizadeh
28
62 kgBoonratanathanakorn
30
72 kgNikitin
35
61 kgYamamoto
46
62 kgEbsen
49
58 kgPhounsavath
50
67 kgWijaya
59
58 kgSim
65
64 kgGaledo
66
58 kgNemati Khiavi
71
60 kgFukushima
72
62 kg
Weight (KG) →
Result →
73
58
3
72
# | Rider | Weight (KG) |
---|---|---|
3 | PARK Sung Baek | 73 |
9 | WALKER Johnnie | 63 |
10 | SAI-UDOMSIN Phuchong | 60 |
11 | SIRIRONNACHAI Sarawut | 61 |
12 | WONG Kam-Po | 65 |
16 | LIPHONGYU Navuti | 61 |
17 | SHIMIZU Miyataka | 60 |
19 | SEO Joon Yong | 66 |
25 | PRIYA PRASETYA Heksa | 62 |
28 | ALIZADEH Hossein | 62 |
30 | BOONRATANATHANAKORN Turakit | 72 |
35 | NIKITIN Matvey | 61 |
46 | YAMAMOTO Genki | 62 |
49 | EBSEN John | 58 |
50 | PHOUNSAVATH Ariya | 67 |
59 | WIJAYA Endra | 58 |
65 | SIM Teck Kwang Calvin | 64 |
66 | GALEDO Mark John Lexer | 58 |
71 | NEMATI KHIAVI Ali | 60 |
72 | FUKUSHIMA Shinichi | 62 |