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 = 0.3 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PAUMIER Laurent | 57 |
| 3 | TALABARDON Yannick | 67 |
| 4 | AUGER Ludovic | 78 |
| 5 | STUBBE Tom | 66 |
| 7 | BOOM Lars | 75 |
| 10 | MCLEOD Ian | 66 |
| 13 | PAUWELS Serge | 65 |
| 14 | STAMSNIJDER Tom | 76 |
| 17 | YATES Jeremy | 73 |
| 21 | HELMINEN Matti | 74 |
| 24 | HABEAUX Grégory | 68 |