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 + 8
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | BARBERO Carlos | 66 |
| 6 | TEUNS Dylan | 64 |
| 8 | DE VOS Gertjan | 72 |
| 9 | GUILLEMOIS Romain | 66 |
| 10 | PARRA Heiner Rodrigo | 51 |
| 11 | OCHOA Diego Antonio | 61 |
| 13 | LATOUR Pierre | 66 |
| 15 | CHEVRIER Clément | 56 |
| 16 | ARISTI Mikel | 72 |
| 17 | CALMEJANE Lilian | 70 |
| 18 | THEUNS Edward | 72 |
| 20 | DUMOURIER Florian | 60 |
| 22 | ITURRIA Mikel | 69 |
| 25 | GRELLIER Fabien | 65 |
| 27 | GUERIN Alexis | 64 |
| 28 | BIDARD François | 65 |