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 = 0.9 * weight - 49
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LODER Thierry | 62 |
| 4 | KOHL Bernhard | 61 |
| 7 | BEPPU Fumiyuki | 69 |
| 8 | DRANCOURT Pierre | 68 |
| 11 | PAUWELS Serge | 65 |
| 12 | LOSADA Alberto | 69 |
| 15 | BERNAUDEAU Giovanni | 62 |
| 16 | DUPONT Hubert | 57 |
| 18 | DI GRÉGORIO Rémy | 67 |
| 28 | DEKKER Thomas | 69 |
| 31 | DRUJON Mathieu | 75 |