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 - 7
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Cárdenas
1
59 kgBazayev
2
62 kgCarrara
3
67 kgMifune
6
70 kgGoss
8
70 kgMiyazawa
9
61 kgClarke
12
63 kgDyachenko
13
65 kgTashiro
14
54 kgSutton
15
67 kgNishitani
17
62 kgMizurov
18
68 kgPlaza
19
68 kgLongo Borghini
24
76 kgFukushima
28
62 kgShimizu
29
60 kgWacker
31
65 kgChan
34
70 kgWong
35
65 kg
1
59 kgBazayev
2
62 kgCarrara
3
67 kgMifune
6
70 kgGoss
8
70 kgMiyazawa
9
61 kgClarke
12
63 kgDyachenko
13
65 kgTashiro
14
54 kgSutton
15
67 kgNishitani
17
62 kgMizurov
18
68 kgPlaza
19
68 kgLongo Borghini
24
76 kgFukushima
28
62 kgShimizu
29
60 kgWacker
31
65 kgChan
34
70 kgWong
35
65 kg
Weight (KG) →
Result →
76
54
1
35
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CÁRDENAS Félix Rafael | 59 |
| 2 | BAZAYEV Assan | 62 |
| 3 | CARRARA Matteo | 67 |
| 6 | MIFUNE Masahiko | 70 |
| 8 | GOSS Matthew | 70 |
| 9 | MIYAZAWA Takashi | 61 |
| 12 | CLARKE Simon | 63 |
| 13 | DYACHENKO Alexandr | 65 |
| 14 | TASHIRO Yasutaka | 54 |
| 15 | SUTTON Chris | 67 |
| 17 | NISHITANI Taiji | 62 |
| 18 | MIZUROV Andrey | 68 |
| 19 | PLAZA David | 68 |
| 24 | LONGO BORGHINI Paolo | 76 |
| 28 | FUKUSHIMA Shinichi | 62 |
| 29 | SHIMIZU Miyataka | 60 |
| 31 | WACKER Eugen | 65 |
| 34 | CHAN Chun Hing | 70 |
| 35 | WONG Kam-Po | 65 |