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 = 0.6 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | WYSS Marcel | 63 |
| 6 | DRUCKER Jempy | 75 |
| 7 | KOHLER Martin | 69 |
| 9 | SCHORN Daniel | 72 |
| 11 | HOLLENSTEIN Reto | 80 |
| 13 | SAGGIORATO Mirco | 58 |
| 19 | KRIZEK Matthias | 74 |
| 22 | POELS Wout | 66 |
| 27 | KRIVTSOV Dmytro | 72 |
| 29 | VASYLYUK Andriy | 65 |
| 44 | BÄR Michael | 66 |
| 54 | GASTAUER Ben | 73 |
| 68 | SEUBERT Timon | 73 |
| 87 | BUTS Vitaliy | 68 |
| 91 | KLUGE Roger | 83 |
| 105 | CHARUCKI Paweł | 64 |