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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JOHANSSON Emma | 58 |
| 2 | D'HOORE Jolien | 63 |
| 3 | PIETERS Amy | 58 |
| 4 | GUNNEWIJK Loes | 67 |
| 5 | KIRCHMANN Leah | 59 |
| 6 | KOEDOODER Vera | 69 |
| 8 | GUARNIER Megan | 54 |
| 9 | NORMAN LETH Julie | 68 |
| 10 | KESSLER Nina | 60 |
| 11 | MARCHE Shara | 58 |
| 13 | HENTTALA Lotta | 58 |
| 14 | CANT Sanne | 57 |