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 = -0.1 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MEERSMAN Gianni | 63 |
| 2 | STAMSNIJDER Tom | 76 |
| 4 | POULHIÈS Stéphane | 75 |
| 8 | LADAGNOUS Matthieu | 73 |
| 9 | FARRAR Tyler | 73 |
| 12 | SULZBERGER Bernard | 67 |
| 16 | BLOT Guillaume | 71 |
| 17 | ROUSSEAU Nicolas | 70 |