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 = -0.6 * weight + 51
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DIJK Stefan | 74 |
| 2 | POLLACK Olaf | 77 |
| 3 | EISEL Bernhard | 74 |
| 4 | GARDEYN Gorik | 75 |
| 5 | CASPER Jimmy | 69 |
| 6 | DE JONGH Steven | 76 |
| 8 | CLERC Aurélien | 71 |
| 9 | FLAMMANG Tom | 80 |
| 11 | ARVESEN Kurt-Asle | 74 |
| 12 | KOPP David | 68 |
| 14 | DE GROOT Bram | 65 |
| 15 | RADOCHLA Steffen | 70 |