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 = -0.6 * weight + 62
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FUKUSHIMA Shinichi | 62 |
| 3 | SHIMIZU Miyataka | 60 |
| 4 | SANO Junya | 76 |
| 5 | MIYAZAWA Takashi | 61 |
| 6 | HATANAKA Yusuke | 72 |
| 25 | NAKAJIMA Yasuharu | 64 |
| 27 | FUKUDA Shinpei | 70 |
| 33 | ABE Yoshiyuki | 67 |
| 35 | MUKAIGAWA Naoki | 64 |
| 40 | UCHIMA Kohei | 63 |
| 49 | YAMAMOTO Genki | 62 |