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 = -2.8 * weight + 253
This means that on average for every extra kilogram weight a rider loses -2.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ÁLVAREZ Héctor | 74 |
| 13 | PARETA Roger | 76 |
| 14 | ØRN-KRISTOFF Felix | 76 |
| 17 | BEISEMBAY Mansur | 73 |
| 21 | MARKOVIC Gavrilo | 75 |
| 30 | FITZGERALD Max | 73 |
| 35 | VAĽO Roman | 70 |
| 37 | PODLUZHNYY Mikhail | 71 |
| 45 | PERA Marceli | 68 |
| 63 | KŐRÖSI Gábor | 65 |
| 83 | DAVIDOV Igor | 57 |
| 96 | CHZHAN Kirill | 72 |
| 103 | PŘENOSIL Marek | 76 |
| 109 | JABUKA Tonko | 63 |
| 114 | GÓMEZ Iker | 74 |