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 = 0.4 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BERNAL Egan | 60 |
| 2 | NOVAK Domen | 70 |
| 3 | MARTÍNEZ Daniel Felipe | 63 |
| 4 | DAVIES Scott | 66 |
| 5 | RODRÍGUEZ Cristián | 59 |
| 6 | KNOX James | 58 |
| 7 | CARBONI Giovanni | 61 |
| 8 | EG Niklas | 60 |
| 9 | RAVANELLI Simone | 66 |
| 10 | RAHBEK Mads | 66 |
| 12 | PER Gorazd | 68 |
| 13 | ROTONDI Matteo | 63 |
| 15 | DE BOD Stefan | 66 |
| 16 | BURCHIO Federico | 62 |
| 17 | GANNA Filippo | 83 |
| 18 | NOWAK Florian | 68 |