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 * weight + 85
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
Boivin
3
78 kgPhinney
4
82 kgKing
13
68 kgWarbasse
20
67 kgRosskopf
24
74 kg
3
78 kgPhinney
4
82 kgKing
13
68 kgWarbasse
20
67 kgRosskopf
24
74 kg
Weight (KG) →
Result →
82
67
3
24
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BOIVIN Guillaume | 78 |
| 4 | PHINNEY Taylor | 82 |
| 13 | KING Ben | 68 |
| 20 | WARBASSE Larry | 67 |
| 24 | ROSSKOPF Joey | 74 |