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 * weight + 260
This means that on average for every extra kilogram weight a rider loses -3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ÁLVAREZ Héctor | 74 |
| 5 | ØRN-KRISTOFF Felix | 76 |
| 7 | BEISEMBAY Mansur | 73 |
| 22 | PARETA Roger | 76 |
| 30 | FITZGERALD Max | 73 |
| 31 | PODLUZHNYY Mikhail | 71 |
| 36 | PERA Marceli | 68 |
| 37 | CHZHAN Kirill | 72 |
| 44 | VAĽO Roman | 70 |
| 66 | KŐRÖSI Gábor | 65 |
| 68 | MARKOVIC Gavrilo | 75 |
| 90 | DAVIDOV Igor | 57 |
| 92 | PŘENOSIL Marek | 76 |
| 107 | JABUKA Tonko | 63 |
| 109 | GÓMEZ Iker | 74 |