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 - 62
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARASHIRO Yukiya | 64 |
| 2 | SHIMIZU Miyataka | 60 |
| 8 | DOI Yukihiro | 58 |
| 9 | CRAWFORD Jai | 59 |
| 21 | NISHITANI Taiji | 62 |
| 22 | VAN BON Léon | 72 |
| 27 | SANO Junya | 76 |
| 38 | NAKAJIMA Yasuharu | 64 |
| 40 | ABE Yoshiyuki | 67 |