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 | ROMINGER Tony | 65 |
| 4 | ALDAG Rolf | 75 |
| 5 | MARIE Thierry | 68 |
| 6 | MUSEEUW Johan | 71 |
| 7 | RIIS Bjarne | 71 |
| 9 | YATES Sean | 74 |
| 10 | BOARDMAN Chris | 70 |
| 11 | NIJDAM Jelle | 70 |
| 12 | TCHMIL Andrei | 75 |
| 14 | CORVERS Frank | 77 |
| 16 | BERZIN Evgeni | 64 |
| 17 | OBREE Graeme | 73 |
| 18 | MATTAN Nico | 69 |
| 19 | VAN PETEGEM Peter | 70 |