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 = 0.2 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOLE Grega | 69 |
| 2 | VINTHER Troels Rønning | 68 |
| 3 | DE NEGRI Pier Paolo | 61 |
| 4 | VLIEGEN Loïc | 70 |
| 5 | WIŚNIOWSKI Łukasz | 78 |
| 6 | DELTOMBE Kevin | 66 |
| 7 | STASSEN Julien | 66 |
| 8 | AVERIN Maksym | 74 |
| 10 | KATYRIN Roman | 65 |
| 11 | MORTENSEN Martin | 70 |
| 12 | MARIN Matej | 67 |
| 15 | BAUHAUS Phil | 75 |