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 = -0.9 * weight + 76
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GRIVKO Andrey | 70 |
| 3 | NIBALI Vincenzo | 65 |
| 4 | PRONI Alessandro | 68 |
| 9 | JANIACZYK Błażej | 68 |
| 10 | PIEMONTESI Fabrice | 61 |
| 12 | ERMETI Giairo | 60 |
| 18 | DI GRÉGORIO Rémy | 67 |
| 21 | VISCONTI Giovanni | 63 |
| 22 | MINARD Sébastien | 65 |
| 23 | BELKOV Maxim | 71 |
| 33 | CATALDO Dario | 64 |
| 35 | RUSS Matthias | 62 |