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 = 0.4 * weight - 17
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAMBRECHT Bjorg | 56 |
| 2 | CRAS Steff | 65 |
| 3 | VANHOUCKE Harm | 65 |
| 4 | CHERKASOV Nikolay | 68 |
| 6 | HIGUITA Sergio | 57 |
| 7 | GAILLARD Marlon | 64 |
| 9 | CARVALHO Gonçalo | 60 |
| 10 | PARET-PEINTRE Aurélien | 64 |
| 12 | PLANCKAERT Emiel | 69 |
| 14 | GUGLIELMI Simon | 66 |
| 16 | CULLAIGH Gabriel | 78 |
| 19 | PAREDES Wilmar | 66 |
| 20 | BOU Joan | 62 |
| 22 | KURIANOV Stepan | 74 |
| 24 | BALLESTEROS Miguel Ángel | 60 |