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 - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRAVO Garikoitz | 61 |
| 2 | CHAVES Esteban | 55 |
| 3 | WELLENS Tim | 71 |
| 4 | BARDET Romain | 65 |
| 5 | CATTANEO Mattia | 67 |
| 6 | BARGUIL Warren | 61 |
| 7 | VALGREN Michael | 71 |
| 8 | HANSEN Jesper | 60 |
| 9 | MOLARD Rudy | 62 |
| 10 | LAENGEN Vegard Stake | 79 |