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 = -0.3 * weight + 37
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BUGNO Gianni | 68 |
| 2 | FONDRIEST Maurizio | 70 |
| 11 | JEKER Fabian | 72 |
| 14 | BALLERINI Franco | 78 |
| 16 | LELLI Massimiliano | 69 |
| 20 | DONATI Massimo | 75 |
| 22 | TONKOV Pavel | 70 |
| 23 | SØRENSEN Rolf | 70 |
| 24 | REBELLIN Davide | 63 |
| 27 | BARTOLI Michele | 65 |
| 29 | TAFI Andrea | 73 |