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 - 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BORTOLAMI Gianluca | 73 |
| 3 | MUSEEUW Johan | 71 |
| 5 | ALDAG Rolf | 75 |
| 6 | HAMBURGER Bo | 58 |
| 7 | HUNDERTMARCK Kai | 72 |
| 8 | VAN DER POEL Adrie | 70 |
| 10 | YATES Sean | 74 |
| 12 | BÖLTS Udo | 73 |
| 13 | BRAMATI Davide | 72 |
| 15 | IMBODEN Heinz | 70 |
| 16 | VERSTREPEN Johan | 66 |
| 20 | HOLM SØRENSEN Brian | 77 |