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 = 0.3 * weight + 16
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MUJIKA Jokin | 73 |
| 5 | DOMÍNGUEZ Manuel Jorge | 67 |
| 6 | SCHEPERS Eddy | 60 |
| 8 | KELLY Sean | 77 |
| 33 | HERRERA Luis Alberto | 57 |
| 34 | CHIAPPUCCI Claudio | 67 |
| 44 | INDURÁIN Miguel | 76 |
| 58 | ALONSO Marino | 70 |
| 65 | FERNÁNDEZ Juan | 68 |
| 72 | ELLIOTT Malcolm | 76 |
| 82 | WELTZ Johnny | 65 |