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 + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Benfatto
1
71 kgLunardon
2
77 kgBani
3
72 kgBēcis
7
82 kgBazhkou
9
65 kg
1
71 kgLunardon
2
77 kgBani
3
72 kgBēcis
7
82 kgBazhkou
9
65 kg
Weight (KG) →
Result →
82
65
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BENFATTO Marco | 71 |
| 2 | LUNARDON Paolo | 77 |
| 3 | BANI Eugenio | 72 |
| 7 | BĒCIS Armands | 82 |
| 9 | BAZHKOU Stanislau | 65 |