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 - 11
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Velo
1
70 kgFerrari
3
74 kgForconi
4
71 kgAndriotto
6
68 kgZanette
7
82 kg
1
70 kgFerrari
3
74 kgForconi
4
71 kgAndriotto
6
68 kgZanette
7
82 kg
Weight (KG) →
Result →
82
68
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VELO Marco | 70 |
| 3 | FERRARI Diego | 74 |
| 4 | FORCONI Riccardo | 71 |
| 6 | ANDRIOTTO Dario | 68 |
| 7 | ZANETTE Denis | 82 |