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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SYRITSA Gleb | 85 |
| 4 | MALUCELLI Matteo | 68 |
| 5 | CAÑELLAS Xavier | 66 |
| 6 | DE KLEIJN Arvid | 68 |
| 7 | PEÑALVER Manuel | 67 |
| 8 | TOMKINSON Tyler | 61 |
| 12 | FERNÁNDEZ Miguel Ángel | 78 |
| 15 | AGNOLETTO Blake | 69 |