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 - 93
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ISIDORO Micael | 63 |
| 3 | XU Gang | 69 |
| 5 | TANG Wang Yip | 62 |
| 7 | NISHITANI Taiji | 62 |
| 9 | JI Jianhua | 65 |
| 26 | WU Kin San | 68 |
| 33 | ZHANG Liang | 80 |
| 39 | FUKUDA Shinpei | 70 |
| 45 | JI Cheng | 67 |
| 49 | WONG Kam-Po | 65 |
| 55 | MIFUNE Masahiko | 70 |