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 = -1.6 * weight + 142
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MASSON Émile | 77 |
| 4 | VERSCHUEREN Denis | 91 |
| 7 | HELLEBAUT Hilaire | 74 |
| 8 | FONTAN Victor | 66 |
| 9 | VERMANDEL René | 75 |
| 11 | FRANTZ Nicolas | 78 |
| 12 | PELLETIER José | 72 |
| 14 | DEWAELE Maurice | 69 |
| 18 | BOBO Pierre | 70 |
| 22 | CARDONA Salvador | 68 |
| 24 | PLAUTIN Adrien | 75 |
| 30 | LAFOSSE Victor | 70 |
| 36 | BAI Giovanni | 68 |
| 54 | GELDHOF Maurice | 77 |
| 63 | CAPLAT Mathieu | 61 |
| 66 | GUILLON Clotaire | 58 |