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 = 0.4 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SIVAKOV Pavel | 70 |
| 2 | VLASOV Aleksandr | 68 |
| 3 | FLÓREZ Miguel Eduardo | 57 |
| 4 | COVILI Luca | 58 |
| 5 | ZIMMERMANN Georg | 70 |
| 8 | GARCÍA Jhojan | 55 |
| 9 | BRKIC Benjamin | 58 |
| 10 | BARCELÓ Fernando | 65 |
| 11 | BANZER Gordian | 56 |
| 12 | GREGAARD Jonas | 66 |
| 13 | BAYER Tobias | 71 |
| 14 | ROCCHETTI Filippo | 72 |
| 16 | NICOLAU Joel | 66 |
| 18 | EL GOUZI Omar | 58 |
| 20 | RIVI Samuele | 72 |
| 22 | GAMPER Patrick | 80 |
| 23 | DIMA Emil | 73 |