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 = -0.3 * weight + 30
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DÉMARE Arnaud | 76 |
| 2 | IZAGIRRE Gorka | 66 |
| 3 | LAPORTE Christophe | 76 |
| 4 | WELLENS Tim | 71 |
| 5 | ROELANDTS Jürgen | 78 |
| 6 | TEUNISSEN Mike | 73 |
| 7 | ALAPHILIPPE Julian | 62 |
| 8 | KONRAD Patrick | 64 |
| 9 | ROLLAND Pierre | 70 |
| 10 | TEUNS Dylan | 64 |
| 11 | TRENTIN Matteo | 74 |
| 12 | PÉRICHON Pierre-Luc | 69 |
| 13 | IZAGIRRE Ion | 60 |