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 + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | VAN DAELE Joseph | 68 |
| 5 | VAN DEN BERGHE René | 65 |
| 7 | NIEDERGANG Constant | 70 |
| 8 | HANLET Henri | 70 |
| 10 | MASSELIS Jules | 65 |
| 12 | SCIEUR Léon | 78 |
| 13 | BORGARELLO Vincenzo | 71 |
| 14 | DUBOC Paul | 67 |
| 15 | HEUSGHEM Hector | 86 |
| 16 | EVERAERTS Pierre | 66 |
| 18 | BENOÎT Auguste | 76 |
| 19 | SAMYN Hubert | 68 |
| 21 | MOTTIAT Louis | 65 |