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 = -3.7 * weight + 247
This means that on average for every extra kilogram weight a rider loses -3.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BOLKS Florien | 60 |
| 5 | MAGNER Alexis | 57 |
| 6 | LÓPEZ Marga | 67 |
| 10 | PEETERS Jinse | 54 |
| 14 | VANDENBULCKE Jesse | 60 |
| 15 | BEULING Femke | 65 |
| 20 | BERTEAU Victoire | 57 |
| 25 | CASTRIQUE Alana | 63 |
| 27 | SELS Loes | 62 |
| 35 | MILETTE Laury | 52 |
| 38 | BOGLIO Cassia | 54 |
| 46 | STULTIENS Sabrina | 58 |
| 57 | KAJIHARA Yumi | 59 |
| 68 | FORTIN Valentine | 55 |
| 85 | VERDONSCHOT Laura | 52 |
| 98 | DOCX Mieke | 52 |