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 = 2.8 * weight - 160
This means that on average for every extra kilogram weight a rider loses 2.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | ANTÓN Igor | 64 |
| 10 | RENDERS Sven | 63 |
| 17 | VELASCO Iván | 65 |
| 19 | PÉREZ Rubén | 65 |
| 27 | INGELS Nick | 70 |
| 30 | PÉREZ Alan | 66 |
| 38 | BLACKGROVE Heath | 65 |
| 40 | MARTIN Tony | 75 |
| 53 | CORNU Dominique | 78 |
| 62 | LEEZER Tom | 76 |
| 67 | KAISEN Olivier | 82 |