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 = 0.4 * weight - 7
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BALIANI Fortunato | 66 |
| 2 | RUBIANO Miguel Angel | 58 |
| 3 | NISHITANI Taiji | 62 |
| 4 | RICHEZE Maximiliano | 68 |
| 6 | FUKUSHIMA Shinichi | 62 |
| 7 | CRAWFORD Jai | 59 |
| 9 | MASUDA Nariyuki | 63 |
| 11 | SANO Junya | 76 |
| 15 | SUZUKI Yuzuru | 57 |
| 22 | SUZUKI Shinri | 60 |
| 24 | YAMAMOTO Genki | 62 |
| 27 | HATANAKA Yusuke | 72 |
| 28 | SAI-UDOMSIN Phuchong | 60 |
| 31 | FUKUDA Shinpei | 70 |
| 41 | TOKUDA Tanzo | 67 |
| 43 | TSUJI Yoshimitsu | 62 |