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 = -3.3 * weight + 255
This means that on average for every extra kilogram weight a rider loses -3.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CIPOLLINI Mario | 77 |
| 2 | SVORADA Ján | 76 |
| 4 | LOMBARDI Giovanni | 73 |
| 5 | GUIDI Fabrizio | 73 |
| 6 | LEONI Endrio | 74 |
| 7 | BORTOLAMI Gianluca | 73 |
| 9 | DJAVANIAN Viatcheslav | 64 |
| 11 | ZBERG Beat | 72 |
| 51 | CASAGRANDE Francesco | 64 |
| 52 | TONKOV Pavel | 70 |
| 56 | BERZIN Evgeni | 64 |