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 * weight + 6
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERLIER Tim | 76 |
| 2 | BAUHAUS Phil | 75 |
| 3 | HODEG Álvaro José | 76 |
| 4 | GAVIRIA Fernando | 71 |
| 5 | VAN POPPEL Danny | 82 |
| 6 | PEDERSEN Mads | 76 |
| 7 | WALSCHEID Max | 90 |
| 8 | ANIOŁKOWSKI Stanisław | 68 |
| 9 | TEUNISSEN Mike | 73 |
| 10 | LAPORTE Christophe | 76 |