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 = 0.4 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TONKOV Pavel | 70 |
| 2 | REBELLIN Davide | 63 |
| 3 | GUERINI Giuseppe | 65 |
| 4 | SIMONI Gilberto | 59 |
| 5 | ZBERG Beat | 72 |
| 6 | TETERIOUK Andrei | 72 |
| 7 | SHEFER Alexandre | 68 |
| 8 | HERVÉ Pascal | 62 |
| 9 | DI GRANDE Giuseppe | 58 |
| 10 | SIMEONI Filippo | 68 |
| 11 | BOARDMAN Chris | 70 |
| 12 | GIANETTI Mauro | 62 |
| 13 | MEINERT-NIELSEN Peter | 73 |
| 15 | GOTTI Ivan | 65 |
| 39 | BREUKINK Erik | 70 |