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 = -0.5 * weight + 46
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NÜTTLI Jean | 70 |
| 2 | HONCHAR Serhiy | 67 |
| 3 | BODROGI László | 79 |
| 4 | FINOT Frédéric | 65 |
| 5 | MOREAU Christophe | 71 |
| 9 | BRARD Florent | 74 |
| 10 | EKIMOV Viatcheslav | 69 |
| 12 | FOFONOV Dmitriy | 65 |
| 13 | BÉNÉTEAU Walter | 67 |
| 15 | CASAR Sandy | 63 |
| 16 | ARTETXE Mikel | 61 |
| 17 | VELO Marco | 70 |