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 = -0.2 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARTINELLO Silvio | 71 |
| 3 | MAGNUSSON Glenn | 70 |
| 5 | ZBERG Markus | 69 |
| 6 | MAGNIEN Emmanuel | 68 |
| 8 | BARTHE Stéphane | 65 |
| 9 | TCHMIL Andrei | 75 |
| 13 | CASAROTTO Davide | 74 |
| 14 | MATTAN Nico | 69 |
| 15 | LOTZ Marc | 76 |
| 16 | AGGIANO Elio | 63 |
| 19 | MAZZANTI Luca | 64 |
| 20 | RIIS Bjarne | 71 |