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 = 0.9 * weight - 57
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Nibali
1
65 kgde Maar
4
70 kgAgnoli
8
72 kgGrabovskyy
9
69 kgBole
10
69 kg
1
65 kgde Maar
4
70 kgAgnoli
8
72 kgGrabovskyy
9
69 kgBole
10
69 kg
Weight (KG) →
Result →
72
65
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NIBALI Vincenzo | 65 |
| 4 | DE MAAR Marc | 70 |
| 8 | AGNOLI Valerio | 72 |
| 9 | GRABOVSKYY Dmytro | 69 |
| 10 | BOLE Grega | 69 |