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 = 0.3 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TCHMIL Andrei | 75 |
| 2 | EKIMOV Viatcheslav | 69 |
| 3 | DUFAUX Laurent | 60 |
| 5 | BAFFI Adriano | 70 |
| 6 | COLOMBO Gabriele | 70 |
| 8 | MONCASSIN Frédéric | 73 |
| 9 | SIMON François | 70 |
| 10 | SUNDERLAND Scott | 65 |
| 14 | ULLRICH Jan | 73 |
| 16 | CENGHIALTA Bruno | 73 |
| 17 | ODRIOZOLA Jon | 70 |