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 = 1.6 * weight - 102
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Medina
2
65 kgKaggestad
3
66 kgTalabardon
7
67 kgWeening
10
68 kgCoutouly
13
72 kg
2
65 kgKaggestad
3
66 kgTalabardon
7
67 kgWeening
10
68 kgCoutouly
13
72 kg
Weight (KG) →
Result →
72
65
2
13
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MEDINA Jose Alfredo | 65 |
| 3 | KAGGESTAD Mads | 66 |
| 7 | TALABARDON Yannick | 67 |
| 10 | WEENING Pieter | 68 |
| 13 | COUTOULY Cédric | 72 |