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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CANCELLARA Fabian | 80 |
| 2 | BOONEN Tom | 82 |
| 3 | FARRAR Tyler | 73 |
| 4 | MOURIS Jens | 91 |
| 5 | BENNATI Daniele | 71 |
| 6 | KREUZIGER Roman | 65 |
| 7 | VINOKOUROV Alexandre | 68 |
| 8 | BASSO Ivan | 70 |
| 9 | VALVERDE Alejandro | 61 |
| 10 | BODNAR Maciej | 77 |
| 11 | GRABSCH Bert | 78 |
| 12 | EVANS Cadel | 64 |
| 13 | GERDEMANN Linus | 71 |
| 14 | GILBERT Philippe | 75 |
| 15 | MILLAR David | 79 |