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 = 1.4 * weight - 56
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | NISHITANI Taiji | 62 |
| 24 | FUKUDA Shinpei | 70 |
| 25 | TANG Wang Yip | 62 |
| 30 | WONG Kam-Po | 65 |
| 32 | MIFUNE Masahiko | 70 |
| 34 | ZHANG Liang | 80 |
| 36 | ISIDORO Micael | 63 |
| 44 | JI Cheng | 67 |
| 49 | WU Kin San | 68 |
| 57 | XU Gang | 69 |
| 60 | JI Jianhua | 65 |
| 77 | GARCIA Jazy | 75 |