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 + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROJAS José Joaquín | 70 |
| 2 | SHILOV Sergey | 67 |
| 3 | BARBERO Carlos | 66 |
| 4 | LASCA Francesco | 65 |
| 5 | SANZ Enrique | 67 |
| 7 | GARCÍA DE MATEOS Vicente | 68 |
| 8 | KRIEGER Alexander | 71 |
| 10 | CHIRICO Luca | 58 |
| 11 | FREITAS Daniel | 64 |
| 12 | CARVALHO Antonio | 62 |
| 13 | CARDOSO Filipe | 70 |
| 14 | NECHITA Andrei | 71 |