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 = 1.5 * weight - 78
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARASHIRO Yukiya | 64 |
| 2 | SHIMIZU Miyataka | 60 |
| 6 | FUKUSHIMA Shinichi | 62 |
| 9 | FUKUDA Shinpei | 70 |
| 14 | SUZUKI Shinri | 60 |
| 16 | NAKAJIMA Yasuharu | 64 |
| 26 | HOWES Alex | 61 |
| 31 | PARK Sung Baek | 73 |
| 35 | KUBOKI Kazushige | 68 |
| 36 | WU Kin San | 68 |
| 37 | UCHIMA Kohei | 63 |
| 39 | ABE Yoshiyuki | 67 |