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 + 115
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | NISHITANI Taiji | 62 |
| 12 | CHADWICK Glen Alan | 75 |
| 13 | KEMPS Aaron | 73 |
| 18 | MIFUNE Masahiko | 70 |
| 22 | MIURA Kyoshi | 67 |
| 24 | WU Kin San | 68 |
| 27 | SULZBERGER Bernard | 67 |
| 29 | ROTH Ryan | 70 |
| 32 | FUKUSHIMA Shinichi | 62 |
| 42 | DE JONGE Maarten | 65 |
| 51 | SUZUKI Shinri | 60 |
| 52 | SCHULZE André | 70 |
| 53 | MIZBANI Ghader | 67 |
| 54 | TASHIRO Yasutaka | 54 |
| 56 | CHAN Chun Hing | 70 |
| 59 | ABE Yoshiyuki | 67 |