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 | NORDHAUG Lars Petter | 63 |
| 2 | VILLELLA Davide | 66 |
| 3 | KRUIJSWIJK Steven | 63 |
| 4 | ELMIGER Martin | 73 |
| 6 | HIVERT Jonathan | 62 |
| 7 | SEELDRAEYERS Kevin | 60 |
| 8 | VOß Paul | 66 |
| 9 | JENSEN August | 67 |
| 10 | LAENGEN Vegard Stake | 79 |
| 11 | LEDANOIS Kévin | 67 |
| 12 | VLIEGEN Loïc | 70 |
| 13 | KRISTOFF Alexander | 78 |
| 14 | FRATTINI Davide | 63 |