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 = 0.7 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | COLLINELLI Andrea | 77 |
| 5 | LEIPHEIMER Levi | 62 |
| 10 | CORDES Tom | 70 |
| 15 | VAUGHTERS Jonathan | 64 |
| 17 | HAYLES Robert | 80 |
| 29 | DE GROOT Bram | 65 |
| 32 | ELLIOTT Malcolm | 76 |
| 41 | MURN Uroš | 70 |
| 42 | HAYMAN Mathew | 78 |
| 44 | VENEBERG Thorwald | 75 |
| 71 | WEISSINGER René | 74 |
| 86 | TANNER John | 70 |