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 = 0.3 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GROENEWEGEN Dylan | 70 |
| 2 | ŠTOČEK Matúš | 80 |
| 3 | BENNETT Sam | 73 |
| 4 | EWAN Caleb | 69 |
| 5 | PLANET Charles | 71 |
| 6 | BAUHAUS Phil | 75 |
| 7 | HODEG Álvaro José | 76 |
| 8 | ZIJLAARD Maikel | 73 |
| 10 | JAKOBSEN Fabio | 78 |
| 12 | WEEMAES Sasha | 73 |
| 13 | VANHOOF Ward | 75 |
| 15 | KELEMEN Pavel | 78 |
| 15 | HESTERS Jules | 72 |