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 - 15
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Sella
1
54 kgRebellin
2
63 kgCunego
4
58 kgGolčer
5
66.5 kgEfimkin
6
67 kgAstarloa
7
61 kgPidgornyy
8
72 kg
1
54 kgRebellin
2
63 kgCunego
4
58 kgGolčer
5
66.5 kgEfimkin
6
67 kgAstarloa
7
61 kgPidgornyy
8
72 kg
Weight (KG) →
Result →
72
54
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SELLA Emanuele | 54 |
| 2 | REBELLIN Davide | 63 |
| 4 | CUNEGO Damiano | 58 |
| 5 | GOLČER Jure | 66.5 |
| 6 | EFIMKIN Vladimir | 67 |
| 7 | ASTARLOA Igor | 61 |
| 8 | PIDGORNYY Ruslan | 72 |