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 + 60
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOOM Lars | 75 |
| 2 | PAUWELS Serge | 65 |
| 4 | STAMSNIJDER Tom | 76 |
| 5 | YATES Jeremy | 73 |
| 6 | VANENDERT Jelle | 62 |
| 10 | KOHL Bernhard | 61 |
| 11 | DE MAAR Marc | 70 |
| 17 | NIBALI Vincenzo | 65 |
| 28 | ASCANI Luca | 75 |
| 32 | VALENTIN Tristan | 69 |
| 33 | SURAY Gil | 67 |
| 34 | PAUWELS Kevin | 60 |
| 36 | CLEMENT Stef | 66 |
| 37 | PIEMONTESI Fabrice | 61 |
| 38 | FARRAR Tyler | 73 |
| 39 | HABEAUX Grégory | 68 |