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 + 55
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN HUMMEL Kenny | 64 |
| 4 | MUSIOL Daniel | 70 |
| 7 | LAMPATER Leif | 75 |
| 8 | BONNET William | 80 |
| 9 | BENGSCH Robert | 85 |
| 13 | STALDER Florian | 58 |
| 14 | DE KORT Koen | 69 |
| 17 | DIETZIKER Andreas | 67 |
| 22 | JANIACZYK Błażej | 68 |
| 25 | SCHWAB Hubert | 65 |
| 30 | STRGAR Matic | 62 |
| 36 | VALENTIN Tristan | 69 |
| 42 | DRUJON Mathieu | 75 |
| 46 | PEDERSEN Martin | 62 |