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 = -0.3 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Sivakov
1
72 kgPronk
3
73 kgHoste
4
80 kgZucconi
7
63 kgVázquez
8
65 kg
1
72 kgPronk
3
73 kgHoste
4
80 kgZucconi
7
63 kgVázquez
8
65 kg
Weight (KG) →
Result →
80
63
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SIVAKOV Alexei | 72 |
| 3 | PRONK Matthé | 73 |
| 4 | HOSTE Leif | 80 |
| 7 | ZUCCONI Pietro | 63 |
| 8 | VÁZQUEZ José Manuel | 65 |