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 = 0.1 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAVENDISH Mark | 70 |
| 2 | GAVIRIA Fernando | 71 |
| 3 | GROVES Kaden | 76 |
| 4 | CAPIOT Amaury | 69 |
| 5 | PENHOËT Paul | 64 |
| 7 | ANGULO Antonio | 67 |
| 8 | RÄIM Mihkel | 69 |
| 9 | DEVRIENDT Tom | 70 |
| 10 | RICHEZE Maximiliano | 68 |
| 11 | CLANCY Stephen | 63 |
| 12 | STEWART Campbell | 76 |
| 13 | WALSCHEID Max | 90 |
| 14 | PAGE Hugo | 71 |
| 16 | CANAL Carlos | 70 |
| 17 | COSTA Rui | 69 |
| 18 | PERON Andrea | 70 |