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 = -3.2 * weight + 280
This means that on average for every extra kilogram weight a rider loses -3.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ÁLVAREZ Héctor | 74 |
| 7 | ØRN-KRISTOFF Felix | 76 |
| 14 | PARETA Roger | 76 |
| 16 | PODLUZHNYY Mikhail | 71 |
| 26 | VAĽO Roman | 70 |
| 35 | BEISEMBAY Mansur | 73 |
| 37 | MARKOVIC Gavrilo | 75 |
| 48 | PERA Marceli | 68 |
| 73 | FITZGERALD Max | 73 |
| 78 | CHZHAN Kirill | 72 |
| 83 | DAVIDOV Igor | 57 |
| 95 | PŘENOSIL Marek | 76 |
| 100 | JABUKA Tonko | 63 |
| 103 | GÓMEZ Iker | 74 |
| 110 | KŐRÖSI Gábor | 65 |