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 = 1.1 * weight - 53
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PELLIZZARI Giulio | 66 |
| 2 | PUTZ Sebastian | 62 |
| 5 | ANDREAUS Marco | 68 |
| 6 | JULIEN Matisse | 70 |
| 10 | PŘIDAL Tomáš | 66 |
| 11 | DETALLE Noah | 63 |
| 13 | WALKER Zachary | 52 |
| 14 | LUKEŠ Jan | 70 |
| 18 | GIERYK Kacper | 71 |
| 19 | MRÁZ Daniel | 66 |
| 27 | MAŚLAK Piotr | 73 |
| 28 | TOMŠIČ Dan Andrej | 69 |
| 29 | OLIVO Bryan | 70 |
| 31 | TAMM Lauri | 73 |
| 35 | KONING Stef | 72 |
| 37 | JURÍK Martin | 75 |
| 42 | JOHN Vincent | 65 |