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 - 12
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROMINGER Tony | 65 |
| 4 | RICHARD Pascal | 67 |
| 5 | EKIMOV Viatcheslav | 69 |
| 6 | ELLIOTT Malcolm | 76 |
| 8 | BÖLTS Udo | 73 |
| 12 | DUFAUX Laurent | 60 |
| 15 | VIRENQUE Richard | 65 |
| 17 | YATES Sean | 74 |
| 18 | BRUYNEEL Johan | 71 |
| 19 | MADOUAS Laurent | 70 |
| 25 | MARIE Thierry | 68 |
| 27 | DE VRIES Gerrit | 75 |
| 28 | DEN BAKKER Maarten | 71 |
| 32 | ARGENTIN Moreno | 66 |
| 47 | ARNTZ Marcel | 70 |
| 53 | BAFFI Adriano | 70 |
| 54 | NIJDAM Jelle | 70 |