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 - 15
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEKKER Erik | 66 |
| 2 | KOSHELENKO Pyotr | 72 |
| 5 | LAFIS Michel | 78 |
| 11 | BOOGERD Michael | 62 |
| 12 | HAMBURGER Bo | 58 |
| 13 | STENERSEN Karsten | 70 |
| 16 | STENERSEN Bjørn | 70 |
| 18 | GROENENDAAL Richard | 66 |
| 20 | VAN BON Léon | 72 |
| 21 | BROCHARD Laurent | 68 |
| 24 | SARKAUSKAS Saulius | 74 |
| 26 | AUG Andrus | 83 |
| 27 | GUESDON Frédéric | 73 |