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 = 1.2 * weight - 41
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | FUKUSHIMA Shinichi | 62 |
| 6 | MUKAIGAWA Naoki | 64 |
| 7 | MIYAZAWA Takashi | 61 |
| 9 | SUZUKI Shinri | 60 |
| 11 | FUKUDA Shinpei | 70 |
| 15 | HATANAKA Yusuke | 72 |
| 24 | NAKAJIMA Yasuharu | 64 |
| 52 | SANO Junya | 76 |
| 54 | UCHIMA Kohei | 63 |
| 55 | NORRIS Lachlan | 67 |
| 61 | DOMÍNGUEZ Iván | 72 |
| 64 | ABE Yoshiyuki | 67 |
| 66 | SHIMIZU Miyataka | 60 |
| 76 | YAMAMOTO Genki | 62 |
| 78 | VAUBOURZEIX Thomas | 70 |