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 = 0.2 * weight + 31
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Shimizu
2
60 kgNikitin
3
61 kgWong
7
65 kgPriya Prasetya
12
62 kgBoonratanathanakorn
21
72 kgAlizadeh
26
62 kgEbsen
31
58 kgNemati Khiavi
43
60 kgFukushima
47
62 kgSeo
50
66 kgWijaya
58
58 kgGaledo
59
58 kgSai-udomsin
62
60 kgWalker
65
63 kgPark
66
73 kgPhounsavath
69
67 kgLiphongyu
80
61 kgSirironnachai
86
61 kgSim
87
64 kg
2
60 kgNikitin
3
61 kgWong
7
65 kgPriya Prasetya
12
62 kgBoonratanathanakorn
21
72 kgAlizadeh
26
62 kgEbsen
31
58 kgNemati Khiavi
43
60 kgFukushima
47
62 kgSeo
50
66 kgWijaya
58
58 kgGaledo
59
58 kgSai-udomsin
62
60 kgWalker
65
63 kgPark
66
73 kgPhounsavath
69
67 kgLiphongyu
80
61 kgSirironnachai
86
61 kgSim
87
64 kg
Weight (KG) →
Result →
73
58
2
87
# | Rider | Weight (KG) |
---|---|---|
2 | SHIMIZU Miyataka | 60 |
3 | NIKITIN Matvey | 61 |
7 | WONG Kam-Po | 65 |
12 | PRIYA PRASETYA Heksa | 62 |
21 | BOONRATANATHANAKORN Turakit | 72 |
26 | ALIZADEH Hossein | 62 |
31 | EBSEN John | 58 |
43 | NEMATI KHIAVI Ali | 60 |
47 | FUKUSHIMA Shinichi | 62 |
50 | SEO Joon Yong | 66 |
58 | WIJAYA Endra | 58 |
59 | GALEDO Mark John Lexer | 58 |
62 | SAI-UDOMSIN Phuchong | 60 |
65 | WALKER Johnnie | 63 |
66 | PARK Sung Baek | 73 |
69 | PHOUNSAVATH Ariya | 67 |
80 | LIPHONGYU Navuti | 61 |
86 | SIRIRONNACHAI Sarawut | 61 |
87 | SIM Teck Kwang Calvin | 64 |