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 = -0.2 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ROCHE Stephen | 74 |
| 4 | INDURÁIN Miguel | 76 |
| 8 | HERRERA Luis Alberto | 57 |
| 9 | CHIAPPUCCI Claudio | 67 |
| 12 | FIGNON Laurent | 67 |
| 13 | HODGE Stephen | 74 |
| 15 | EKIMOV Viatcheslav | 69 |
| 16 | BRUYNEEL Johan | 71 |
| 18 | WALTON Brian | 68 |
| 20 | JALABERT Laurent | 66 |