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 * weight + 11
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DIJK Stefan | 74 |
| 2 | CASPER Jimmy | 69 |
| 3 | POLLACK Olaf | 77 |
| 4 | EISEL Bernhard | 74 |
| 5 | DE JONGH Steven | 76 |
| 6 | ARVESEN Kurt-Asle | 74 |
| 8 | CLERC Aurélien | 71 |
| 9 | RADOCHLA Steffen | 70 |
| 11 | GARDEYN Gorik | 75 |
| 12 | KOPP David | 68 |
| 15 | FLAMMANG Tom | 80 |
| 18 | KRIVTSOV Yuriy | 72 |
| 19 | CAPELLE Ludovic | 75 |
| 20 | HAYMAN Mathew | 78 |
| 21 | KOERTS Jans | 78 |
| 23 | NAZON Jean-Patrick | 74 |
| 24 | DE GROOT Bram | 65 |