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 = 2.2 * weight - 150
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
De Wilde
1
70 kgGlaus
4
67 kgDuclos-Lassalle
5
73 kgYates
19
74 kgRoche
21
74 kg
1
70 kgGlaus
4
67 kgDuclos-Lassalle
5
73 kgYates
19
74 kgRoche
21
74 kg
Weight (KG) →
Result →
74
67
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE WILDE Etienne | 70 |
| 4 | GLAUS Gilbert | 67 |
| 5 | DUCLOS-LASSALLE Gilbert | 73 |
| 19 | YATES Sean | 74 |
| 21 | ROCHE Stephen | 74 |