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 = -0.4 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRUNEL Alexys | 70 |
| 2 | EEKHOFF Nils | 75 |
| 3 | PEDERSEN Rasmus Lund | 84 |
| 4 | POGAČAR Tadej | 66 |
| 5 | BJERG Mikkel | 78 |
| 7 | RUTSCH Jonas | 82 |
| 8 | HUYS Laurens | 61 |
| 9 | MÄRKL Niklas | 70 |
| 14 | MARCHIORI Leonardo | 70 |
| 15 | PRIMOŽIČ Jaka | 60 |
| 18 | JERMAN Žiga | 67 |
| 22 | PRONSKIY Vadim | 58 |
| 23 | GRIGNARD Sébastien | 68 |
| 26 | DONEGÀ Matteo | 65 |
| 27 | NOLDE Tobias | 79 |
| 29 | STOJNIĆ Veljko | 73 |
| 32 | JAKALA Jakub | 69 |