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 = 0.3 * weight - 17
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FORTUNATO Lorenzo | 57 |
| 2 | KUDUS Merhawi | 58 |
| 3 | PRONSKIY Vadim | 58 |
| 4 | SEVILLA Diego Pablo | 64 |
| 5 | CARBONI Giovanni | 61 |
| 6 | DONEGÀ Matteo | 65 |
| 7 | ZANA Filippo | 65 |
| 8 | BAIS Mattia | 66 |
| 9 | VERZA Riccardo | 69 |
| 10 | LÜHRS Leslie | 83 |