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 = 1.9 * weight - 92
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DELGADO Pedro | 64 |
| 6 | HERRERA Luis Alberto | 57 |
| 18 | BARONCHELLI Gianbattista | 72 |
| 27 | WINNEN Peter | 60 |
| 30 | KELLY Sean | 77 |
| 34 | BERNAUDEAU Jean-René | 64 |
| 45 | DUCLOS-LASSALLE Gilbert | 73 |
| 69 | MUJIKA Jokin | 73 |
| 71 | VILAMAJO Jaime | 70 |
| 81 | FERNÁNDEZ Juan | 68 |