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 + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RODRIGUEZ Fred | 68 |
| 2 | BELLI Wladimir | 64 |
| 3 | TEUTENBERG Sven | 66 |
| 4 | STRAUSS Marcel | 69 |
| 5 | ZBERG Markus | 69 |
| 6 | GARZELLI Stefano | 62 |
| 7 | HERVÉ Pascal | 62 |
| 9 | HASELBACHER René | 69 |
| 10 | CASAGRANDE Francesco | 64 |
| 11 | CAMENZIND Oscar | 62 |
| 13 | ZANETTI Mauro | 66 |
| 14 | GARATE Juan Manuel | 62 |
| 15 | MAZZOLENI Eddy | 67 |
| 16 | BOOGERD Michael | 62 |
| 17 | NAZON Jean-Patrick | 74 |
| 19 | DUFAUX Laurent | 60 |