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 = 1.3 * weight - 59
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MIYAZAWA Takashi | 61 |
| 3 | ARASHIRO Yukiya | 64 |
| 4 | SHIMIZU Miyataka | 60 |
| 7 | NISHITANI Taiji | 62 |
| 12 | FUKUSHIMA Shinichi | 62 |
| 15 | TASHIRO Yasutaka | 54 |
| 20 | MASUDA Nariyuki | 63 |
| 22 | MIFUNE Masahiko | 70 |
| 25 | BOILLAT Joris | 68 |
| 29 | ANTOMARCHI Julien | 70 |
| 30 | HUPOND Thierry | 65 |
| 45 | ACKERMANN Silvère | 62 |
| 52 | HATANAKA Yusuke | 72 |
| 53 | SUZUKI Yuzuru | 57 |
| 74 | BOUET Maxime | 67 |