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 - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NOCENTINI Rinaldo | 60 |
| 2 | PRADES Eduard | 63 |
| 3 | BARBERO Carlos | 66 |
| 4 | DE LA FUENTE David | 67 |
| 5 | TRATNIK Jan | 67 |
| 7 | PINTO Edgar | 58 |
| 9 | DAL-CIN Matteo | 77 |
| 10 | AMADOR Andrey | 73 |
| 11 | BOL Jetse | 71 |
| 13 | POWLESS Neilson | 67 |
| 14 | OWEN Logan | 67 |
| 15 | PAGE Dylan | 64 |