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 - 13
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Baliani
1
66 kgArredondo
2
58 kgLebas
3
65 kgMasuda
4
63 kgRicheze
5
68 kgSano
7
76 kgShimizu
8
60 kgSuzuki
9
60 kgHatsuyama
10
59 kgSuzuki
11
57 kgKuboki
12
68 kgCheung
13
59 kgFlakemore
14
72 kgIino
16
61 kgSonnery
17
60 kgNishitani
19
62 kgAverin
22
74 kgFukushima
23
62 kgEarle
27
70 kgMukaigawa
32
64 kgWong
34
65 kgUchima
36
63 kgFukuda
44
70 kg
1
66 kgArredondo
2
58 kgLebas
3
65 kgMasuda
4
63 kgRicheze
5
68 kgSano
7
76 kgShimizu
8
60 kgSuzuki
9
60 kgHatsuyama
10
59 kgSuzuki
11
57 kgKuboki
12
68 kgCheung
13
59 kgFlakemore
14
72 kgIino
16
61 kgSonnery
17
60 kgNishitani
19
62 kgAverin
22
74 kgFukushima
23
62 kgEarle
27
70 kgMukaigawa
32
64 kgWong
34
65 kgUchima
36
63 kgFukuda
44
70 kg
Weight (KG) →
Result →
76
57
1
44
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BALIANI Fortunato | 66 |
| 2 | ARREDONDO Julián David | 58 |
| 3 | LEBAS Thomas | 65 |
| 4 | MASUDA Nariyuki | 63 |
| 5 | RICHEZE Maximiliano | 68 |
| 7 | SANO Junya | 76 |
| 8 | SHIMIZU Miyataka | 60 |
| 9 | SUZUKI Shinri | 60 |
| 10 | HATSUYAMA Sho | 59 |
| 11 | SUZUKI Yuzuru | 57 |
| 12 | KUBOKI Kazushige | 68 |
| 13 | CHEUNG King Lok | 59 |
| 14 | FLAKEMORE Campbell | 72 |
| 16 | IINO Tomoyuki | 61 |
| 17 | SONNERY Blaise | 60 |
| 19 | NISHITANI Taiji | 62 |
| 22 | AVERIN Maksym | 74 |
| 23 | FUKUSHIMA Shinichi | 62 |
| 27 | EARLE Nathan | 70 |
| 32 | MUKAIGAWA Naoki | 64 |
| 34 | WONG Kam-Po | 65 |
| 36 | UCHIMA Kohei | 63 |
| 44 | FUKUDA Shinpei | 70 |