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 = 0.9 * weight - 26
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | MIURA Kyoshi | 67 |
| 16 | TANG Wang Yip | 62 |
| 17 | WU Kin San | 68 |
| 27 | LOUDER Jeff | 73 |
| 29 | BRONIŠ Roman | 74 |
| 31 | TASHIRO Yasutaka | 54 |
| 35 | LAPTHORNE Darren | 70 |
| 36 | MCCANN David | 73 |
| 39 | KRUPA Dawid | 74 |
| 48 | TYBOR Patrik | 72 |
| 57 | CHAN Chun Hing | 70 |
| 70 | LLOYD Daniel | 70 |