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 = -0.6 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOARDMAN Chris | 70 |
| 3 | SEIGNEUR Eddy | 71 |
| 4 | OBREE Graeme | 73 |
| 5 | KARLSSON Jan | 75 |
| 7 | SVORADA Ján | 76 |
| 9 | ANDERSSON Michael | 71 |
| 14 | BLAUDZUN Michael | 66 |
| 20 | RIIS Bjarne | 71 |
| 21 | SERPELLINI Marco | 75 |
| 22 | BROCHARD Laurent | 68 |