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 = -0.4 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SWEET Jay | 69 |
| 2 | MARKOV Alexei | 80 |
| 5 | FLAMMANG Tom | 80 |
| 6 | BÄCKSTEDT Magnus | 94 |
| 7 | PENCOLÉ Franck | 74 |
| 14 | CASPER Jimmy | 69 |
| 15 | CAPELLE Christophe | 73 |
| 16 | KRAFFT Stéphane | 67 |
| 17 | MORIN Anthony | 79 |
| 18 | MURN Uroš | 70 |
| 20 | PAOLINI Luca | 66 |