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 = -0.1 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GONZÁLEZ Aitor | 69 |
| 2 | BALČIŪNAS Linas | 90 |
| 3 | MONCOUTIÉ David | 69 |
| 4 | FOFONOV Dmitriy | 65 |
| 5 | BRARD Florent | 74 |
| 8 | VICIOSO Ángel | 60 |
| 10 | CLAIN Médéric | 59 |
| 12 | JØRGENSEN René | 60 |
| 16 | ENGELS Addy | 64 |
| 18 | FLICKINGER Andy | 78 |
| 23 | TOMBAK Janek | 71 |