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 = -0.3 * weight + 50
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BRONIŠ Roman | 74 |
| 7 | LOUDER Jeff | 73 |
| 14 | WU Kin San | 68 |
| 15 | TANG Wang Yip | 62 |
| 16 | MIURA Kyoshi | 67 |
| 29 | CHAN Chun Hing | 70 |
| 30 | MCCANN David | 73 |
| 34 | KRUPA Dawid | 74 |
| 40 | TASHIRO Yasutaka | 54 |
| 49 | TYBOR Patrik | 72 |
| 64 | LAPTHORNE Darren | 70 |