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 = -0.7 * weight + 72
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DOMÍNGUEZ Manuel Jorge | 67 |
| 3 | ELLIOTT Malcolm | 76 |
| 7 | KELLY Sean | 77 |
| 8 | ILEGEMS Roger | 74 |
| 14 | PEETERS Wilfried | 76 |
| 16 | CHIAPPUCCI Claudio | 67 |
| 19 | VILAMAJO Jaime | 70 |
| 36 | EARLEY Martin | 62 |
| 43 | MUJIKA Jokin | 73 |
| 44 | YATES Sean | 74 |