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 + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ETXEBARRIA Unai | 68 |
| 2 | VOIGT Jens | 76 |
| 3 | GARCÍA ACOSTA José Vicente | 76 |
| 4 | MENCHOV Denis | 65 |
| 5 | PINEAU Jérôme | 65 |
| 6 | ETXEBARRIA David | 55 |
| 8 | ZANDIO Xabier | 73 |
| 9 | LANDIS Floyd | 68 |
| 10 | MAZZOLENI Eddy | 67 |