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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MILLER Graeme | 72 |
| 3 | MUSEEUW Johan | 71 |
| 5 | KELLY Sean | 77 |
| 6 | VANDERAERDEN Eric | 74 |
| 7 | MONCASSIN Frédéric | 73 |
| 9 | LILHOLT Søren | 72 |
| 12 | EKIMOV Viatcheslav | 69 |
| 13 | HOLM SØRENSEN Brian | 77 |
| 14 | BÖLTS Udo | 73 |
| 15 | DE WILDE Etienne | 70 |
| 17 | YATES Sean | 74 |