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 = -0.5 * weight + 45
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LATOUR Pierre | 66 |
| 2 | BIDARD François | 65 |
| 4 | OLIVIER Daan | 64 |
| 5 | TUSVELD Martijn | 70 |
| 6 | GUERIN Alexis | 64 |
| 10 | CORNU Jérémy | 66 |
| 11 | SOLE Arnau | 67 |
| 14 | SAINT-MARTIN Clément | 66 |
| 18 | GUILLEMOIS Romain | 66 |
| 20 | PEDRERO Antonio | 60 |
| 22 | ETXEBERRIA Víctor | 61 |
| 24 | BARBERO Carlos | 66 |
| 25 | HOFSTEDE Lennard | 73 |
| 28 | DUMOURIER Florian | 60 |