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 = -0.5 * weight + 51
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Kawano
1
68 kgKobayashi
2
64 kgToribio
3
64 kgKariya
4
66 kgKuroeda
9
57 kgIshihara
10
53 kgHatanaka
11
72 kgTani
12
68 kgWatanabe
13
65 kgKoishi
14
62 kgYasuhara
16
62 kgYamamoto
18
62 kgMancebo
19
64 kgOnodera
21
65 kgOkamoto
23
65 kgKadota
24
65 kgNishimura
25
59 kgShibata
27
61 kgMagosaki
28
62 kgIribe
29
61 kgSato
30
51 kgInoue
31
57 kgYokotsuka
32
70 kg
1
68 kgKobayashi
2
64 kgToribio
3
64 kgKariya
4
66 kgKuroeda
9
57 kgIshihara
10
53 kgHatanaka
11
72 kgTani
12
68 kgWatanabe
13
65 kgKoishi
14
62 kgYasuhara
16
62 kgYamamoto
18
62 kgMancebo
19
64 kgOnodera
21
65 kgOkamoto
23
65 kgKadota
24
65 kgNishimura
25
59 kgShibata
27
61 kgMagosaki
28
62 kgIribe
29
61 kgSato
30
51 kgInoue
31
57 kgYokotsuka
32
70 kg
Weight (KG) →
Result →
72
51
1
32
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KAWANO Aoki | 68 |
| 2 | KOBAYASHI Marino | 64 |
| 3 | TORIBIO José Vicente | 64 |
| 4 | KARIYA Kazutoshi | 66 |
| 9 | KUROEDA Saya | 57 |
| 10 | ISHIHARA Yuki | 53 |
| 11 | HATANAKA Yusuke | 72 |
| 12 | TANI Junsei | 68 |
| 13 | WATANABE Shotaro | 65 |
| 14 | KOISHI Yuma | 62 |
| 16 | YASUHARA Daiki | 62 |
| 18 | YAMAMOTO Genki | 62 |
| 19 | MANCEBO Francisco | 64 |
| 21 | ONODERA Rei | 65 |
| 23 | OKAMOTO Hayato | 65 |
| 24 | KADOTA Yusuke | 65 |
| 25 | NISHIMURA Hiroki | 59 |
| 27 | SHIBATA Masayuki | 61 |
| 28 | MAGOSAKI Daiki | 62 |
| 29 | IRIBE Shotaro | 61 |
| 30 | SATO Takashi | 51 |
| 31 | INOUE Fuminari | 57 |
| 32 | YOKOTSUKA Kohei | 70 |