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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZOCCARATO Samuele | 74 |
| 2 | ROMO Javier | 70 |
| 4 | DE MARCHI Alessandro | 65 |
| 5 | SOLER Marc | 68 |
| 6 | LANDA Mikel | 61 |
| 7 | CICCONE Giulio | 58 |
| 8 | MÄDER Gino | 61 |
| 9 | BILBAO Pello | 60 |
| 10 | MOHORIČ Matej | 71 |
| 11 | CARUSO Damiano | 67 |
| 12 | VLASOV Aleksandr | 68 |
| 13 | KÄMNA Lennard | 65 |
| 14 | POELS Wout | 66 |
| 15 | DE PLUS Laurens | 67 |