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 = 0.4 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Caruso
1
60 kgVrečer
2
68 kgNiemiec
3
62 kgBasso
4
70 kgKišerlovski
7
72 kgGrabovskyy
8
69 kg
1
60 kgVrečer
2
68 kgNiemiec
3
62 kgBasso
4
70 kgKišerlovski
7
72 kgGrabovskyy
8
69 kg
Weight (KG) →
Result →
72
60
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CARUSO Giampaolo | 60 |
| 2 | VREČER Robert | 68 |
| 3 | NIEMIEC Przemysław | 62 |
| 4 | BASSO Ivan | 70 |
| 7 | KIŠERLOVSKI Robert | 72 |
| 8 | GRABOVSKYY Dmytro | 69 |