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 + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN BEKKUM Darren | 62 |
| 2 | PELLIZZARI Giulio | 66 |
| 3 | ISIDORE Noa | 67 |
| 8 | CAICEDO Jonathan Klever | 62 |
| 9 | REUTIMANN Matthias | 71 |
| 10 | MAŚLAK Piotr | 73 |
| 13 | PŘIDAL Tomáš | 66 |
| 14 | PLACE Maxence | 58 |
| 15 | CAMPRUBÍ Marcel | 69 |
| 16 | GRIXA Jarno | 62 |