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 = -0.3 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BELLETTI Manuel | 72 |
| 2 | POULHIÈS Stéphane | 75 |
| 3 | CAETHOVEN Steven | 67 |
| 4 | GÈNE Yohann | 67 |
| 5 | GODDAERT Kristof | 72 |
| 6 | QUINTANA Nairo | 58 |
| 7 | TRONET Steven | 67 |
| 8 | DUPONT Hubert | 57 |
| 9 | LOBATO Juan José | 64 |
| 10 | CHARTEAU Anthony | 67 |