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 + 6
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 | BAFFI Adriano | 70 |
| 4 | VAN BON Léon | 72 |
| 7 | RADAELLI Mauro | 67 |
| 9 | DEN BAKKER Maarten | 71 |
| 10 | O'GRADY Stuart | 73 |
| 12 | NEVENS Jan | 58 |
| 15 | BLAUDZUN Michael | 66 |
| 16 | LEYSEN Bart | 75 |
| 18 | BOMANS Carlo | 74 |
| 19 | PIZIKS Arvis | 70 |