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 - 12
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HESSMANN Michel | 78 |
| 3 | WATSON Samuel | 68 |
| 5 | AYUSO Juan | 65 |
| 6 | RODRÍGUEZ Carlos | 67 |
| 9 | VAUQUELIN Kévin | 69 |
| 10 | HAYTER Leo | 66 |
| 12 | BALLERSTEDT Maurice | 76 |
| 14 | STAUNE-MITTET Johannes | 67 |
| 16 | OELKE Tim | 78 |
| 17 | EPIS Giosuè | 64 |
| 18 | GUDMESTAD Tord | 82 |
| 19 | GEORGE Alfred | 78 |