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 - 32
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VELITS Peter | 63 |
| 2 | BELKOV Maxim | 71 |
| 6 | SCHLECK Andy | 68 |
| 7 | POULHIÈS Stéphane | 75 |
| 8 | REUS Kai | 70 |
| 9 | BOLE Grega | 69 |
| 10 | VACHON Florian | 65 |
| 11 | VELITS Martin | 70 |
| 13 | WYSS Danilo | 65 |
| 14 | COZZA Steven | 70 |
| 17 | GOTTFRIED Alexander | 60 |
| 19 | MØRKØV Michael | 71 |
| 20 | LEEZER Tom | 76 |
| 25 | BRAMMEIER Matt | 72 |
| 26 | HOLLENSTEIN Reto | 80 |