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 = 1.7 * weight - 72
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ELISSONDE Kenny | 52 |
| 4 | WELLENS Tim | 71 |
| 9 | PEYSKENS Dimitri | 69 |
| 16 | DRUYTS Gerry | 69 |
| 25 | TEUNS Dylan | 64 |
| 29 | HOLLER Nikodemus | 58 |
| 36 | OTTEMA Rick | 77 |
| 45 | SCHEIRE Ruben | 61 |
| 46 | ADAMS Jens | 66 |
| 73 | DE VOS Gertjan | 72 |
| 79 | VAN BREUSSEGEM Elias | 68 |
| 80 | EISING Tijmen | 80 |
| 86 | VANDENBOGAERDE Jens | 77 |
| 91 | BOUCHARD Geoffrey | 63 |