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 = -1.1 * weight + 91
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN BON Léon | 72 |
| 3 | SHIMIZU Miyataka | 60 |
| 5 | ARASHIRO Yukiya | 64 |
| 12 | ABE Yoshiyuki | 67 |
| 14 | CRAWFORD Jai | 59 |
| 15 | SANO Junya | 76 |
| 19 | DOI Yukihiro | 58 |
| 27 | FUKUSHIMA Shinichi | 62 |
| 29 | NISHITANI Taiji | 62 |
| 41 | TSUJI Yoshimitsu | 62 |
| 58 | SUZUKI Shinri | 60 |