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 = 0.2 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COQUARD Bryan | 59 |
| 2 | CAVENDISH Mark | 70 |
| 3 | NIZZOLO Giacomo | 72 |
| 4 | BOUHANNI Nacer | 65 |
| 5 | PÉRICHON Pierre-Luc | 69 |
| 6 | WALSCHEID Max | 90 |
| 7 | BLYTHE Adam | 68 |
| 8 | KRISTOFF Alexander | 78 |
| 9 | WELTEN Bram | 81 |
| 10 | FARAZIJN Maxime | 73.5 |
| 11 | VAN GOETHEM Brian | 77 |
| 12 | DUNNE Conor | 88 |
| 13 | CORT Magnus | 68 |
| 14 | VALLÉE Boris | 79 |