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 + 7
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DECOMBLE Maxime | 62 |
| 2 | BISIAUX Léo | 58 |
| 3 | NORDHAGEN Jørgen | 59 |
| 4 | BÁRTA Martin | 67 |
| 6 | BLAISE Arthur | 73 |
| 8 | LIGHTFOOT Mark | 57 |
| 14 | CHAMBERLAIN Oscar | 74 |
| 19 | WIDAR Jarno | 54 |
| 26 | DE CEUSTER Milan | 76 |
| 28 | GIULIANO Dario | 63 |
| 31 | VLOT Mees | 57 |
| 33 | SKOK Marcel | 65 |