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 * weight + 30
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WONG Kam-Po | 65 |
| 2 | FUKUSHIMA Shinichi | 62 |
| 12 | SUZUKI Shinri | 60 |
| 15 | MIURA Kyoshi | 67 |
| 16 | NISHITANI Taiji | 62 |
| 18 | ARASHIRO Yukiya | 64 |
| 19 | CHAN Chun Hing | 70 |
| 32 | SANO Junya | 76 |
| 40 | MIYAZAWA Takashi | 61 |
| 44 | SHIMIZU Miyataka | 60 |
| 48 | PARK Sung Baek | 73 |
| 51 | MUKAIGAWA Naoki | 64 |
| 59 | TSUJI Yoshimitsu | 62 |
| 61 | TANG Wang Yip | 62 |