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 = 0.7 * weight - 31
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VELITS Peter | 63 |
| 2 | BELKOV Maxim | 71 |
| 5 | POULHIÈS Stéphane | 75 |
| 9 | SCHLECK Andy | 68 |
| 10 | REUS Kai | 70 |
| 11 | WYSS Danilo | 65 |
| 12 | BOLE Grega | 69 |
| 13 | VACHON Florian | 65 |
| 15 | VELITS Martin | 70 |
| 16 | COZZA Steven | 70 |
| 21 | GOTTFRIED Alexander | 60 |
| 22 | LEEZER Tom | 76 |
| 23 | MØRKØV Michael | 71 |
| 28 | BRAMMEIER Matt | 72 |
| 30 | HOLLENSTEIN Reto | 80 |