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 - 51
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TRONET Steven | 67 |
| 2 | JØRGENSEN René | 60 |
| 4 | HABEAUX Grégory | 68 |
| 5 | LEMARCHAND Romain | 67 |
| 8 | DRANCOURT Pierre | 68 |
| 9 | DEGAND Thomas | 63 |
| 11 | REIHS Michael | 75 |
| 12 | POLAZZI Fabio | 63 |
| 14 | DEVILLERS Gilles | 62 |
| 18 | ANTOMARCHI Julien | 70 |
| 19 | CAMMAERTS Edwig | 74 |
| 30 | JODTS Sven | 74 |