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 - 21
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MODOLO Sacha | 67 |
| 3 | CHICCHI Francesco | 76 |
| 4 | JANORSCHKE Grischa | 78 |
| 6 | RICHEZE Maximiliano | 68 |
| 7 | MATZKA Ralf | 69 |
| 8 | SCHNAIDT Fabian | 70 |
| 11 | POZZO Mattia | 68 |
| 12 | GIRAUD Benjamin | 71 |
| 15 | MAS Lluís | 69 |
| 16 | KAL Miraç | 72 |
| 21 | METLUSHENKO Yuri | 82 |