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 = 0.1 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARCATO Marco | 67 |
| 2 | VAN AVERMAET Greg | 74 |
| 3 | SAMOILAU Branislau | 77 |
| 4 | GOSS Matthew | 70 |
| 5 | WEYLANDT Wouter | 72 |
| 6 | MAES Nikolas | 78 |
| 7 | MARTINEZ José Alberto | 67 |
| 8 | SCHLECK Andy | 68 |
| 9 | MANDRI René | 66 |
| 11 | KUNITSKI Andrei | 72 |
| 12 | SURAY Gil | 67 |
| 13 | POULHIÈS Stéphane | 75 |
| 14 | HIVERT Jonathan | 62 |
| 16 | VANDENBERGH Stijn | 86 |