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 = 0.9 * weight - 47
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SWIFT Ben | 69 |
| 3 | PIRAZZI Stefano | 62 |
| 5 | STORTONI Simone | 59 |
| 6 | EL FARES Julien | 62 |
| 7 | FROOME Chris | 68 |
| 8 | BOLE Grega | 69 |
| 9 | ROUX Anthony | 73 |
| 10 | KOREN Kristijan | 72 |
| 12 | CLARKE Simon | 63 |
| 14 | BELLIS Jonathan | 69 |
| 17 | COSTA Rui | 69 |
| 19 | GAUTIER Cyril | 65 |
| 20 | CLAEYS Dimitri | 77 |
| 23 | BODNAR Maciej | 77 |
| 24 | ZEITS Andrey | 73 |
| 26 | STANNARD Ian | 83 |