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 = 2.7 * weight - 141
This means that on average for every extra kilogram weight a rider loses 2.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SARONNI Giuseppe | 65 |
| 9 | VAN IMPE Lucien | 59 |
| 12 | SCHEPERS Eddy | 60 |
| 13 | BERNAUDEAU Jean-René | 64 |
| 15 | PRIM Tommy | 76 |
| 17 | BARONCHELLI Gianbattista | 72 |
| 21 | VANDI Alfio | 64 |
| 27 | NILSSON Sven-Åke | 63 |
| 32 | SERGEANT Marc | 76 |
| 45 | ARGENTIN Moreno | 66 |
| 49 | DE WOLF Fons | 75 |
| 78 | SEGERSALL Alf | 65 |
| 98 | GAVAZZI Pierino | 67 |
| 99 | CAROLI Daniele | 77 |
| 114 | HOSTE Frank | 76 |