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 = -0.5 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BROWN Graeme Allen | 76 |
| 4 | VAN DIJK Stefan | 74 |
| 5 | MIYAZAWA Takashi | 61 |
| 10 | KOPP David | 68 |
| 12 | DEAN Julian | 72 |
| 13 | VANLANDSCHOOT James | 67 |
| 14 | IGLINSKIY Maxim | 67 |
| 17 | JØRGENSEN René | 60 |
| 18 | RADOCHLA Steffen | 70 |
| 20 | SOHRABI Mehdi | 69 |
| 21 | COX Ryan | 62 |
| 22 | PALUMBO Giuseppe | 61 |
| 28 | BELOKI Joseba | 68 |
| 30 | WINN Julian | 70 |