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 = -0.8 * weight + 59
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CIPOLLINI Mario | 77 |
| 2 | SVORADA Ján | 76 |
| 3 | STRAZZER Massimo | 68 |
| 4 | FAGNINI Gian Matteo | 70 |
| 5 | BAFFI Adriano | 70 |
| 7 | SIMON François | 70 |
| 9 | BALDATO Fabio | 60 |
| 11 | NOÈ Andrea | 65 |
| 12 | TEUTENBERG Sven | 66 |
| 13 | CASSANI Enrico | 65 |
| 14 | MEIER Roland | 60 |
| 15 | DE WAELE Fabien | 62 |