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 - 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE KLEIJN Arvid | 68 |
| 2 | TESSON Jason | 59 |
| 3 | EEKHOFF Nils | 75 |
| 4 | BARBIER Pierre | 69 |
| 5 | RENARD Alexis | 74 |
| 6 | DE LIE Arnaud | 78 |
| 7 | FRETIN Milan | 70 |
| 8 | ŠIŠKEVIČIUS Evaldas | 80 |
| 9 | BARTHE Cyril | 70 |
| 10 | WELTEN Bram | 81 |
| 11 | RUSSO Clément | 74 |
| 12 | MCLAY Daniel | 72 |
| 13 | ANIOŁKOWSKI Stanisław | 68 |
| 14 | MARIT Arne | 72 |
| 15 | ZINGLE Axel | 67 |
| 16 | THIJSSEN Gerben | 74 |
| 17 | WELSFORD Sam | 79 |