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 = -0.2 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TIVANI German Nicolás | 67 |
| 2 | KONYCHEV Alexander | 76 |
| 3 | VAN EMPEL Etienne | 64 |
| 4 | BARAĆ Antonio | 73 |
| 5 | VĂIDIAN Iustin-Ioan | 67 |
| 6 | STOJNIĆ Veljko | 73 |
| 10 | PICIU Mattew-Denis | 64 |
| 11 | RUBIANO Miguel Angel | 58 |
| 23 | PANCHEV Georgi | 74 |
| 25 | COJANU Andrei | 65 |