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 = -1.9 * weight + 153
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SHIMIZU Miyataka | 60 |
| 5 | SANO Junya | 76 |
| 6 | ABE Yoshiyuki | 67 |
| 8 | CRAWFORD Jai | 59 |
| 13 | MIFUNE Masahiko | 70 |
| 14 | ARASHIRO Yukiya | 64 |
| 21 | VAN BON Léon | 72 |
| 36 | NAKAJIMA Yasuharu | 64 |
| 38 | DOI Yukihiro | 58 |
| 51 | SUZUKI Shinri | 60 |
| 57 | TSUJI Yoshimitsu | 62 |
| 67 | FUKUSHIMA Shinichi | 62 |
| 77 | NISHITANI Taiji | 62 |