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 - 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Aberasturi
1
69 kgOkubo
3
70 kgPujol
4
58 kgLebas
5
65 kgPrades
6
56 kgCrawford
7
59 kgKimura
8
61 kgGarcia
9
55 kgUchima
11
63 kgSuzuki
12
58 kgToribio
13
64 kgIribe
14
61 kgAbe
15
66 kgGarcía
18
68 kgAmagoi
20
62 kgGuardiola
21
65 kgMonier
23
75 kgSano
24
76 kgSumiyoshi
26
56 kgHatsuyama
27
59 kg
1
69 kgOkubo
3
70 kgPujol
4
58 kgLebas
5
65 kgPrades
6
56 kgCrawford
7
59 kgKimura
8
61 kgGarcia
9
55 kgUchima
11
63 kgSuzuki
12
58 kgToribio
13
64 kgIribe
14
61 kgAbe
15
66 kgGarcía
18
68 kgAmagoi
20
62 kgGuardiola
21
65 kgMonier
23
75 kgSano
24
76 kgSumiyoshi
26
56 kgHatsuyama
27
59 kg
Weight (KG) →
Result →
76
55
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ABERASTURI Jon | 69 |
| 3 | OKUBO Jin | 70 |
| 4 | PUJOL Óscar | 58 |
| 5 | LEBAS Thomas | 65 |
| 6 | PRADES Benjamín | 56 |
| 7 | CRAWFORD Jai | 59 |
| 8 | KIMURA Keisuke | 61 |
| 9 | GARCIA Marcos | 55 |
| 11 | UCHIMA Kohei | 63 |
| 12 | SUZUKI Ryu | 58 |
| 13 | TORIBIO José Vicente | 64 |
| 14 | IRIBE Shotaro | 61 |
| 15 | ABE Takayuki | 66 |
| 18 | GARCÍA Ricardo | 68 |
| 20 | AMAGOI Tatsuki | 62 |
| 21 | GUARDIOLA Salvador | 65 |
| 23 | MONIER Damien | 75 |
| 24 | SANO Junya | 76 |
| 26 | SUMIYOSHI Kota | 56 |
| 27 | HATSUYAMA Sho | 59 |