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 - 120
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WONG Kam-Po | 65 |
| 3 | NISHITANI Taiji | 62 |
| 4 | MIFUNE Masahiko | 70 |
| 17 | TANG Wang Yip | 62 |
| 23 | WU Kin San | 68 |
| 39 | TREACEY David | 67 |
| 43 | ZHANG Liang | 80 |
| 54 | XU Gang | 69 |
| 58 | CHAN Chun Hing | 70 |