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 = -1.1 * weight + 88
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KASPUTIS Artūras | 83 |
| 3 | KARLSSON Jan | 75 |
| 4 | MOREAU Francis | 77 |
| 7 | PIETERS Peter | 82 |
| 8 | MARIE Thierry | 68 |
| 11 | BROCHARD Laurent | 68 |
| 18 | MAGNUSSON Glenn | 70 |
| 26 | ROBIN Jean-Cyril | 63 |
| 28 | GABRIEL Frédéric | 60 |