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 = -0.1 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HANSEN Alexander Arnt | 68 |
| 3 | TOUDAL Emil | 72 |
| 4 | STAMPE Daniel | 79 |
| 5 | GRIGNARD Sébastien | 68 |
| 6 | MIKKELSEN Pelle Køster | 72 |
| 7 | CZABOK Konrad | 65 |
| 8 | KACZMAREK Jakub | 66 |
| 10 | DE LIE Arnaud | 78 |
| 14 | STOCKMAN Abram | 67 |
| 15 | HODEG Álvaro José | 76 |
| 16 | BARGUIL Warren | 61 |
| 17 | STOKBRO Andreas | 70 |
| 18 | KESSLER Cole | 75 |