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 = 0.6 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TALABARDON Yannick | 67 |
| 2 | DEKKER Thomas | 69 |
| 5 | VORGANOV Eduard | 65 |
| 7 | POSTHUMA Joost | 76 |
| 8 | MAHORIČ Mitja | 68 |
| 9 | DURET Sébastien | 62 |
| 10 | AUGER Ludovic | 78 |
| 69 | PAUMIER Laurent | 57 |
| 84 | ROLLIN Dominique | 83 |