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 - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DUMOULIN Tom | 69 |
| 2 | ĐURASEK Kristijan | 56 |
| 3 | MORENO Daniel | 59 |
| 4 | CANCELLARA Fabian | 80 |
| 5 | MEYER Cameron | 70 |
| 6 | ROELANDTS Jürgen | 78 |
| 7 | ARREDONDO Julián David | 58 |
| 8 | PIBERNIK Luka | 60 |
| 9 | BRÄNDLE Matthias | 80 |
| 10 | SAGAN Peter | 78 |
| 11 | PINOT Thibaut | 63 |
| 12 | THOMAS Geraint | 71 |
| 13 | MORABITO Steve | 74 |
| 14 | VAN AVERMAET Greg | 74 |