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 = -0.2 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Bartali
1
69 kgDucazeaux
3
65 kgMontero
5
74 kgGianello
7
57 kgEzquerra
9
63 kg
1
69 kgDucazeaux
3
65 kgMontero
5
74 kgGianello
7
57 kgEzquerra
9
63 kg
Weight (KG) →
Result →
74
57
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARTALI Gino | 69 |
| 3 | DUCAZEAUX Sauveur | 65 |
| 5 | MONTERO Luciano | 74 |
| 7 | GIANELLO Dante | 57 |
| 9 | EZQUERRA Federico | 63 |