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 = 1.2 * weight - 58
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | WYSS Marcel | 63 |
| 6 | DRUCKER Jempy | 75 |
| 7 | KOHLER Martin | 69 |
| 8 | SCHORN Daniel | 72 |
| 11 | HOLLENSTEIN Reto | 80 |
| 16 | SAGGIORATO Mirco | 58 |
| 18 | KRIZEK Matthias | 74 |
| 21 | POELS Wout | 66 |
| 27 | VASYLYUK Andriy | 65 |
| 41 | BÄR Michael | 66 |
| 45 | GASTAUER Ben | 73 |
| 58 | SEUBERT Timon | 73 |
| 72 | KLUGE Roger | 83 |