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 = 0.1 * weight + 30
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | WONG Kam-Po | 65 |
| 4 | NISHITANI Taiji | 62 |
| 7 | ZHANG Liang | 80 |
| 14 | MIFUNE Masahiko | 70 |
| 23 | WU Kin San | 68 |
| 29 | TANG Wang Yip | 62 |
| 30 | FUKUDA Shinpei | 70 |
| 36 | ISIDORO Micael | 63 |
| 42 | JI Cheng | 67 |
| 52 | GARCIA Jazy | 75 |
| 67 | XU Gang | 69 |
| 83 | JI Jianhua | 65 |
| 92 | CHAN Chun Hing | 70 |