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 = -0.1 * weight + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Scorticati
2
68 kgChavard
3
84 kgBartali
4
69 kgvan Schendel
5
72 kgLatorre
6
63 kgGarcia
6
57 kg
2
68 kgChavard
3
84 kgBartali
4
69 kgvan Schendel
5
72 kgLatorre
6
63 kgGarcia
6
57 kg
Weight (KG) →
Result →
84
57
2
6
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SCORTICATI Renato | 68 |
| 3 | CHAVARD Guillaume | 84 |
| 4 | BARTALI Gino | 69 |
| 5 | VAN SCHENDEL Albert | 72 |
| 6 | LATORRE Antoine | 63 |
| 6 | GARCIA Jean | 57 |