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 = 0.9 * weight - 37
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CABELLO Francisco | 72 |
| 4 | WAUTERS Marc | 73 |
| 5 | BAFFI Adriano | 70 |
| 6 | TCHMIL Andrei | 75 |
| 7 | ZABEL Erik | 69 |
| 9 | GONTCHENKOV Alexander | 74 |
| 10 | EDO Ángel | 64 |
| 11 | ALDAG Rolf | 75 |
| 14 | LELLI Massimiliano | 69 |
| 15 | OLANO Abraham | 70 |
| 16 | HAMBURGER Bo | 58 |
| 17 | LLANERAS Juan | 65 |
| 19 | EKIMOV Viatcheslav | 69 |
| 57 | STENERSEN Bjørn | 70 |
| 103 | BAUER Steve | 72 |
| 110 | ARMSTRONG Lance | 72 |