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 + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WATSON Samuel | 68 |
| 3 | PONOMAR Andrii | 65 |
| 4 | HESSMANN Michel | 78 |
| 7 | AYUSO Juan | 65 |
| 9 | GEORGE Alfred | 78 |
| 12 | RODRÍGUEZ Carlos | 67 |
| 13 | VAUQUELIN Kévin | 69 |
| 14 | HAYTER Leo | 66 |
| 15 | GARCÍA PIERNA Raúl | 67 |
| 17 | BALLERSTEDT Maurice | 76 |
| 18 | PAULUS Milan | 62 |
| 20 | STAUNE-MITTET Johannes | 67 |
| 23 | OELKE Tim | 78 |
| 24 | EPIS Giosuè | 64 |