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 = 0.4 * weight - 17
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HIRSCHI Marc | 61 |
| 2 | KRON Andreas | 63 |
| 3 | TURGIS Tanguy | 61 |
| 4 | HORVAT Žiga | 70 |
| 5 | PRIMOŽIČ Jaka | 60 |
| 6 | SCHELLING Ide | 66 |
| 8 | RIES Michel | 67 |
| 10 | VALTER Attila | 65 |
| 11 | MALLE Nicolas | 60 |
| 12 | POGAČAR Tadej | 66 |
| 14 | VAN DER HORST Dennis | 62 |
| 15 | MÄRKL Niklas | 70 |