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 = 0.1 * weight + 15
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Prades
2
56 kgNakane
6
55 kgFukuda
7
70 kgMonier
8
75 kgOnodera
9
65 kgToribio
10
64 kgSuzuki
12
58 kgCrawford
15
59 kgOkubo
17
70 kgHatsuyama
18
59 kgSuzuki
20
57 kgKimura
22
61 kgLebas
23
65 kgKaneko
25
58 kgDoi
27
58 kgNovardianto
28
69 kgSuzuki
29
60 kgDyball
30
63 kgMasuda
32
63 kgMizuno
33
68 kg
2
56 kgNakane
6
55 kgFukuda
7
70 kgMonier
8
75 kgOnodera
9
65 kgToribio
10
64 kgSuzuki
12
58 kgCrawford
15
59 kgOkubo
17
70 kgHatsuyama
18
59 kgSuzuki
20
57 kgKimura
22
61 kgLebas
23
65 kgKaneko
25
58 kgDoi
27
58 kgNovardianto
28
69 kgSuzuki
29
60 kgDyball
30
63 kgMasuda
32
63 kgMizuno
33
68 kg
Weight (KG) →
Result →
75
55
2
33
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PRADES Benjamín | 56 |
| 6 | NAKANE Hideto | 55 |
| 7 | FUKUDA Shinpei | 70 |
| 8 | MONIER Damien | 75 |
| 9 | ONODERA Rei | 65 |
| 10 | TORIBIO José Vicente | 64 |
| 12 | SUZUKI Ryu | 58 |
| 15 | CRAWFORD Jai | 59 |
| 17 | OKUBO Jin | 70 |
| 18 | HATSUYAMA Sho | 59 |
| 20 | SUZUKI Yuzuru | 57 |
| 22 | KIMURA Keisuke | 61 |
| 23 | LEBAS Thomas | 65 |
| 25 | KANEKO Daisuke | 58 |
| 27 | DOI Yukihiro | 58 |
| 28 | NOVARDIANTO Jamalidin | 69 |
| 29 | SUZUKI Shinri | 60 |
| 30 | DYBALL Benjamin | 63 |
| 32 | MASUDA Nariyuki | 63 |
| 33 | MIZUNO Kyohei | 68 |