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 = -2.1 * weight + 153
This means that on average for every extra kilogram weight a rider loses -2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEREBRYAKOV Alexander | 70 |
| 6 | TEDESCHI Mirko | 69 |
| 7 | TEYCHENNE Mathieu | 68 |
| 10 | BARDET Romain | 65 |
| 12 | COLONNA Paolo | 65 |
| 17 | LOCATELLI Stefano | 60 |
| 21 | DOMONT Axel | 65 |
| 26 | PICHETTA Ricardo | 56 |
| 30 | NARDIN Alberto | 63.5 |
| 35 | ZILIOLI Gianfranco | 61 |
| 39 | ARU Fabio | 63 |