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 = 0.2 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ALAPHILIPPE Julian | 62 |
| 2 | LATOUR Pierre | 66 |
| 3 | FEDOSSEYEV Artur | 61.5 |
| 4 | DÍAZ Edward Fabián | 68 |
| 5 | HOFSTEDE Lennard | 73 |
| 6 | OOMEN Sam | 65 |
| 8 | VERONA Carlos | 68 |
| 9 | PACHER Quentin | 62 |
| 10 | CALMEJANE Lilian | 70 |
| 11 | ROOSEN Timo | 78 |
| 15 | LE GAC Olivier | 70 |
| 16 | GOUAULT Pierre | 61 |
| 18 | LEVEAU Jérémy | 67 |
| 19 | SARREAU Marc | 76 |
| 20 | MORTON Lachlan | 62 |