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 + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Domínguez
3
67 kgKelly
6
77 kgBallerini
8
78 kgGianetti
9
62 kgLeMond
19
67 kg
3
67 kgKelly
6
77 kgBallerini
8
78 kgGianetti
9
62 kgLeMond
19
67 kg
Weight (KG) →
Result →
78
62
3
19
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | DOMÍNGUEZ Manuel Jorge | 67 |
| 6 | KELLY Sean | 77 |
| 8 | BALLERINI Franco | 78 |
| 9 | GIANETTI Mauro | 62 |
| 19 | LEMOND Greg | 67 |