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 = 1.1 * weight - 29
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | COLLINELLI Andrea | 77 |
| 16 | DE GROOT Bram | 65 |
| 30 | ELLIOTT Malcolm | 76 |
| 31 | CORDES Tom | 70 |
| 32 | TANNER John | 70 |
| 37 | LEIPHEIMER Levi | 62 |
| 59 | MURN Uroš | 70 |
| 60 | VENEBERG Thorwald | 75 |
| 74 | WEISSINGER René | 74 |
| 76 | HAYMAN Mathew | 78 |
| 89 | VAUGHTERS Jonathan | 64 |
| 98 | HAYLES Robert | 80 |