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 = -0.3 * weight + 77
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 15 | ELLIOTT Malcolm | 76 |
| 17 | MURN Uroš | 70 |
| 20 | HAYMAN Mathew | 78 |
| 35 | VENEBERG Thorwald | 75 |
| 37 | DE GROOT Bram | 65 |
| 56 | CORDES Tom | 70 |
| 58 | TANNER John | 70 |
| 66 | LEIPHEIMER Levi | 62 |
| 75 | COLLINELLI Andrea | 77 |
| 91 | VAUGHTERS Jonathan | 64 |
| 96 | HAYLES Robert | 80 |
| 100 | WEISSINGER René | 74 |