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 = 1.9 * weight - 103
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TANG Wang Yip | 62 |
| 2 | MIFUNE Masahiko | 70 |
| 7 | XU Gang | 69 |
| 13 | NISHITANI Taiji | 62 |
| 16 | FUKUDA Shinpei | 70 |
| 25 | JI Jianhua | 65 |
| 27 | JI Cheng | 67 |
| 41 | WONG Kam-Po | 65 |
| 42 | CHAN Chun Hing | 70 |
| 44 | WU Kin San | 68 |
| 54 | ZHANG Liang | 80 |