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 - 12
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DYACHENKO Alexandr | 65 |
| 3 | DONATI Alessandro | 71 |
| 4 | MASCIARELLI Francesco | 55 |
| 6 | TASHIRO Yasutaka | 54 |
| 7 | SUZUKI Shinri | 60 |
| 9 | WONG Kam-Po | 65 |
| 10 | IGLINSKIY Valentin | 68 |
| 12 | FUKUSHIMA Shinichi | 62 |
| 15 | FROOME Chris | 68 |
| 17 | ARASHIRO Yukiya | 64 |
| 19 | KANNEMEYER Tiaan | 67 |
| 21 | DI PAOLO Francesco | 65 |