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 = -2.6 * weight + 227
This means that on average for every extra kilogram weight a rider loses -2.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DRUCKER Jempy | 75 |
| 8 | HOLLENSTEIN Reto | 80 |
| 13 | KLUGE Roger | 83 |
| 18 | SEUBERT Timon | 73 |
| 24 | VASYLYUK Andriy | 65 |
| 32 | KRIZEK Matthias | 74 |
| 36 | BÄR Michael | 66 |
| 40 | KOHLER Martin | 69 |
| 50 | SCHORN Daniel | 72 |
| 56 | WYSS Marcel | 63 |
| 65 | POELS Wout | 66 |
| 70 | SAGGIORATO Mirco | 58 |
| 74 | GASTAUER Ben | 73 |
| 94 | CHARUCKI Paweł | 64 |