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 = -51.9 * weight + 4128
This means that on average for every extra kilogram weight a rider loses -51.9 positions in the result.
Fondriest
4
70 kgKonyshev
9
77 kgHerrera
990
57 kgLelli
990
69 kgChiappucci
990
67 kg
4
70 kgKonyshev
9
77 kgHerrera
990
57 kgLelli
990
69 kgChiappucci
990
67 kg
Weight (KG) →
Result →
77
57
4
990
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | FONDRIEST Maurizio | 70 |
| 9 | KONYSHEV Dmitry | 77 |
| 990 | HERRERA Luis Alberto | 57 |
| 990 | LELLI Massimiliano | 69 |
| 990 | CHIAPPUCCI Claudio | 67 |