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 = -0.1 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BLIJLEVENS Jeroen | 70 |
| 2 | KIRSIPUU Jaan | 80 |
| 3 | EECKHOUT Niko | 73 |
| 4 | BARTHE Stéphane | 65 |
| 5 | CAPELLE Ludovic | 75 |
| 6 | NAZON Damien | 68 |
| 8 | HINAULT Sébastien | 63 |
| 9 | MICHAELSEN Lars | 79 |
| 10 | FONTANELLI Fabiano | 68 |
| 11 | BRUYLANDTS Dave | 63 |
| 12 | AUS Lauri | 75 |
| 13 | IVANOV Sergei | 73 |
| 14 | CASSANI Enrico | 65 |
| 15 | DA CRUZ Carlos | 74 |