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 = 1.7 * weight - 88
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TASHIRO Yasutaka | 54 |
| 8 | WU Kin San | 68 |
| 13 | BRONIŠ Roman | 74 |
| 14 | TYBOR Patrik | 72 |
| 18 | TANG Wang Yip | 62 |
| 21 | MCCANN David | 73 |
| 25 | MIURA Kyoshi | 67 |
| 46 | KRUPA Dawid | 74 |
| 54 | CHAN Chun Hing | 70 |
| 59 | LOUDER Jeff | 73 |
| 65 | LAPTHORNE Darren | 70 |