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 = 3.1 * weight - 166
This means that on average for every extra kilogram weight a rider loses 3.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SUZUKI Shinri | 60 |
| 3 | FUKUSHIMA Shinichi | 62 |
| 5 | TASHIRO Yasutaka | 54 |
| 12 | MIZBANI Ghader | 67 |
| 26 | MIURA Kyoshi | 67 |
| 29 | ABE Yoshiyuki | 67 |
| 31 | DE JONGE Maarten | 65 |
| 37 | MIFUNE Masahiko | 70 |
| 46 | NISHITANI Taiji | 62 |
| 50 | KEMPS Aaron | 73 |
| 56 | CHADWICK Glen Alan | 75 |
| 57 | CHAN Chun Hing | 70 |
| 57 | SULZBERGER Bernard | 67 |
| 57 | ROTH Ryan | 70 |
| 57 | SCHULZE André | 70 |
| 72 | WU Kin San | 68 |