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 = 2.2 * weight - 111
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | WONG Kam-Po | 65 |
| 16 | MIFUNE Masahiko | 70 |
| 24 | NISHITANI Taiji | 62 |
| 28 | JI Jianhua | 65 |
| 29 | TANG Wang Yip | 62 |
| 36 | ISIDORO Micael | 63 |
| 51 | JI Cheng | 67 |
| 53 | ZHANG Liang | 80 |
| 58 | XU Gang | 69 |
| 59 | WU Kin San | 68 |
| 62 | FUKUDA Shinpei | 70 |
| 72 | GARCIA Jazy | 75 |