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 - 25
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Liepiņš
1
67 kgKrasnov
2
65 kgBenfatto
3
71 kgJõeäär
6
84 kgFurlan
7
72 kgBertazzo
11
78 kgPapok
12
76 kg
1
67 kgKrasnov
2
65 kgBenfatto
3
71 kgJõeäär
6
84 kgFurlan
7
72 kgBertazzo
11
78 kgPapok
12
76 kg
Weight (KG) →
Result →
84
65
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LIEPIŅŠ Emīls | 67 |
| 2 | KRASNOV Leonid | 65 |
| 3 | BENFATTO Marco | 71 |
| 6 | JÕEÄÄR Gert | 84 |
| 7 | FURLAN Angelo | 72 |
| 11 | BERTAZZO Omar | 78 |
| 12 | PAPOK Siarhei | 76 |