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 = 1.8 * weight - 85
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SUZUKI Shinri | 60 |
| 11 | MIZBANI Ghader | 67 |
| 12 | FUKUSHIMA Shinichi | 62 |
| 13 | TASHIRO Yasutaka | 54 |
| 22 | ABE Yoshiyuki | 67 |
| 23 | CHADWICK Glen Alan | 75 |
| 26 | MIURA Kyoshi | 67 |
| 29 | KEMPS Aaron | 73 |
| 41 | CHAN Chun Hing | 70 |
| 49 | NISHITANI Taiji | 62 |
| 51 | DE JONGE Maarten | 65 |
| 58 | SULZBERGER Bernard | 67 |
| 58 | SCHULZE André | 70 |
| 66 | MIFUNE Masahiko | 70 |
| 75 | ROTH Ryan | 70 |
| 78 | WU Kin San | 68 |