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 - 51
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DUFAUX Laurent | 60 |
| 3 | MADOUAS Laurent | 70 |
| 4 | VIRENQUE Richard | 65 |
| 5 | ROBIN Jean-Cyril | 63 |
| 9 | HEPPNER Jens | 69 |
| 10 | MEIER Roland | 60 |
| 12 | BOURGUIGNON Thierry | 72 |
| 13 | MARIE Thierry | 68 |
| 16 | BROCHARD Laurent | 68 |
| 17 | HEULOT Stéphane | 69 |
| 18 | JEKER Fabian | 72 |
| 20 | BÖLTS Udo | 73 |