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 = -0.1 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | LAENGEN Vegard Stake | 79 |
| 4 | GEOGHEGAN HART Tao | 65 |
| 5 | TUSVELD Martijn | 70 |
| 7 | VANTOMME Maxime | 63 |
| 8 | GATE Aaron | 71 |
| 10 | VACHON Florian | 65 |
| 11 | PARRINELLO Antonino | 68 |
| 13 | JULES Justin | 64 |
| 17 | DAVIES Scott | 66 |
| 18 | ARIESEN Johim | 70 |
| 20 | ŠIŠKEVIČIUS Paulius | 70 |
| 21 | BOHLI Tom | 71 |