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 + 7
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SILIN Egor | 61 |
| 2 | KOCHETKOV Pavel | 70 |
| 3 | PORTE Richie | 62 |
| 4 | PARRINELLO Antonino | 68 |
| 7 | PAGANI Angelo | 68 |
| 8 | BATTAGLIN Enrico | 64 |
| 9 | BUSATO Matteo | 67 |
| 13 | NECHITA Andrei | 71 |
| 16 | AVERIN Maksym | 74 |
| 20 | PATERSKI Maciej | 73 |
| 21 | BOARO Manuele | 64 |
| 26 | TSATEVICH Alexey | 64 |
| 27 | MAJKA Rafał | 62 |
| 36 | CATTANEO Mattia | 67 |