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 * weight + 13
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KORETZKY Clément | 66 |
| 4 | LAENGEN Vegard Stake | 79 |
| 5 | LEBAS Thomas | 65 |
| 6 | PINOT Thibaut | 63 |
| 9 | NOVIKOV Nikita | 77 |
| 11 | MÉDEREL Maxime | 59 |
| 12 | VOß Paul | 66 |
| 13 | FUMEAUX Jonathan | 61 |
| 14 | CAMAÑO Iker | 68 |
| 16 | WALSLEBEN Philipp | 66 |
| 17 | LANG Pirmin | 73 |
| 19 | HARDY Romain | 62 |
| 20 | SCHMIDT Fabien | 63 |
| 26 | ROSSETTO Stéphane | 68 |
| 27 | ALBERT Niels | 73 |
| 28 | JARRIER Benoît | 69 |