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 = -0.4 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DER POEL Adrie | 70 |
| 2 | BAGUET Serge | 67 |
| 4 | HUNDERTMARCK Kai | 72 |
| 5 | BRAMATI Davide | 72 |
| 6 | MUSEEUW Johan | 71 |
| 7 | HOLM SØRENSEN Brian | 77 |
| 11 | SUNDERLAND Scott | 65 |
| 12 | BÖLTS Udo | 73 |
| 13 | ALDAG Rolf | 75 |
| 16 | IMBODEN Heinz | 70 |
| 18 | HEPPNER Jens | 69 |
| 20 | VIRENQUE Richard | 65 |