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 = -0.2 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DIJK Ellen | 71 |
| 2 | MARKUS Riejanne | 61 |
| 3 | WOOD Alice | 59 |
| 5 | HOSKING Chloe | 60 |
| 6 | REUSSER Marlen | 70 |
| 7 | ARCHIBALD Katie | 75 |
| 9 | KLEIN Lisa | 61 |
| 10 | BARBIERI Rachele | 55 |
| 12 | JOUNIER Lucie | 58 |
| 13 | ROY Sarah | 66 |
| 16 | FIDANZA Martina | 60 |
| 19 | LAURANCE Typhaine | 62 |
| 21 | VAN DER HULST Amber | 66 |
| 23 | JACKSON Alison | 63 |