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 = -0.2 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROESEMS Bert | 81 |
| 2 | GUSEV Vladimir | 67 |
| 3 | LANG Sebastian | 77 |
| 4 | KRIVTSOV Yuriy | 72 |
| 5 | BELOHVOŠČIKS Raivis | 70 |
| 6 | DAY Benjamin | 68 |
| 7 | ROGERS Michael | 74 |
| 8 | NÜTTLI Jean | 70 |
| 9 | FRITSCH Nicolas | 65 |
| 10 | PINOTTI Marco | 67 |
| 11 | FINOT Frédéric | 65 |
| 12 | GILBERT Philippe | 75 |
| 13 | GOUROV Maxim | 75 |
| 14 | BRARD Florent | 74 |
| 16 | BERTHOU Eric | 72 |
| 17 | BOUCHER David | 78 |
| 18 | GESLIN Anthony | 68 |
| 19 | BICHOT Freddy | 67 |