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 = 0.6 * weight - 28
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHLEGEL Michal | 72 |
| 2 | KNOX James | 58 |
| 3 | NYCH Artem | 74 |
| 4 | DÍAZ José Manuel | 64 |
| 5 | ARANBURU Alex | 63 |
| 7 | O'LOUGHLIN Michael | 72 |
| 8 | ROTA Lorenzo | 62 |
| 10 | SCHINNAGEL Johannes | 68 |
| 16 | RAJOVIĆ Dušan | 74 |
| 17 | KATRAŠNIK Gašper | 69 |
| 18 | ALBANESE Vincenzo | 70 |
| 19 | PER Gorazd | 68 |
| 20 | NOVAK Domen | 70 |
| 21 | MINALI Riccardo | 74 |
| 23 | OIEN Justin | 68 |