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 = -0.3 * weight + 44
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | STAMSNIJDER Tom | 76 |
| 5 | DE MAAR Marc | 70 |
| 6 | YATES Jeremy | 73 |
| 10 | BOOM Lars | 75 |
| 11 | VANENDERT Jelle | 62 |
| 12 | PAUWELS Serge | 65 |
| 14 | KOHL Bernhard | 61 |
| 19 | SURAY Gil | 67 |
| 22 | VALENTIN Tristan | 69 |
| 25 | NIBALI Vincenzo | 65 |
| 28 | CLEMENT Stef | 66 |
| 29 | PIEMONTESI Fabrice | 61 |
| 34 | FARRAR Tyler | 73 |
| 37 | PAUWELS Kevin | 60 |
| 41 | HABEAUX Grégory | 68 |
| 49 | ASCANI Luca | 75 |