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 = -0.3 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AUER Daniel | 73 |
| 3 | PALUTA Michał | 65 |
| 4 | WOOD Oliver | 72 |
| 6 | DECLERCQ Benjamin | 67 |
| 7 | ALBANESE Vincenzo | 70 |
| 8 | VINJEBO Emil Mielke | 67 |
| 9 | GEOGHEGAN HART Tao | 65 |
| 10 | COSNEFROY Benoît | 65 |
| 12 | HOELGAARD Markus | 74 |
| 13 | BAGIOLI Nicola | 64 |
| 14 | PARET-PEINTRE Aurélien | 64 |
| 15 | STOKBRO Andreas | 70 |