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 = 0.6 * weight - 34
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEVILLA Óscar | 62 |
| 2 | MANCEBO Francisco | 64 |
| 3 | JAKSCHE Jörg | 69 |
| 4 | MENCHOV Denis | 65 |
| 5 | PINOTTI Marco | 67 |
| 6 | GUTIÉRREZ José Iván | 71 |
| 7 | CHAVANEL Sylvain | 73 |
| 8 | ZUBELDIA Haimar | 68 |
| 9 | MCGEE Bradley | 72 |
| 10 | VOGONDY Nicolas | 62 |
| 11 | BRARD Florent | 74 |
| 13 | BELOHVOŠČIKS Raivis | 70 |
| 14 | TALABARDON Sébastien | 67 |
| 15 | AUGER Guillaume | 78 |
| 16 | BERTOGLIATI Rubens | 73 |
| 17 | CASPER Jimmy | 69 |