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 = -0.4 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Brändle
2
80 kgDegenkolb
3
82 kgGuldhammer
4
66 kgBoivin
5
78 kgReinhardt
21
72 kg
2
80 kgDegenkolb
3
82 kgGuldhammer
4
66 kgBoivin
5
78 kgReinhardt
21
72 kg
Weight (KG) →
Result →
82
66
2
21
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BRÄNDLE Matthias | 80 |
| 3 | DEGENKOLB John | 82 |
| 4 | GULDHAMMER Rasmus | 66 |
| 5 | BOIVIN Guillaume | 78 |
| 21 | REINHARDT Theo | 72 |