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 + 22
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Mullen
1
77 kgArmirail
2
72 kgGuerin
3
64 kgVan Zyl
6
72 kgGrellier
7
65 kgCalmejane
8
70 kg
1
77 kgArmirail
2
72 kgGuerin
3
64 kgVan Zyl
6
72 kgGrellier
7
65 kgCalmejane
8
70 kg
Weight (KG) →
Result →
77
64
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MULLEN Ryan | 77 |
| 2 | ARMIRAIL Bruno | 72 |
| 3 | GUERIN Alexis | 64 |
| 6 | VAN ZYL Johann | 72 |
| 7 | GRELLIER Fabien | 65 |
| 8 | CALMEJANE Lilian | 70 |