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 - 19
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOARDMAN Chris | 70 |
| 2 | ARMSTRONG Lance | 72 |
| 3 | MUSEEUW Johan | 71 |
| 4 | ULLRICH Jan | 73 |
| 5 | EKIMOV Viatcheslav | 69 |
| 6 | OLANO Abraham | 70 |
| 7 | ALDAG Rolf | 75 |
| 8 | STREEL Marc | 69 |
| 9 | RIIS Bjarne | 71 |
| 11 | MERCKX Axel | 77 |
| 12 | MATTAN Nico | 69 |
| 13 | SEIGNEUR Eddy | 71 |
| 14 | SERPELLINI Marco | 75 |
| 15 | BÄCKSTEDT Magnus | 94 |