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 + 35
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Eeckhout
2
73 kgMarkov
4
80 kgRubiera
5
69 kgSarkauskas
8
74 kgMauri
9
68 kgCastanheira
12
70 kg
2
73 kgMarkov
4
80 kgRubiera
5
69 kgSarkauskas
8
74 kgMauri
9
68 kgCastanheira
12
70 kg
Weight (KG) →
Result →
80
68
2
12
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | EECKHOUT Niko | 73 |
| 4 | MARKOV Alexei | 80 |
| 5 | RUBIERA José Luis | 69 |
| 8 | SARKAUSKAS Saulius | 74 |
| 9 | MAURI Melchor | 68 |
| 12 | CASTANHEIRA Bruno Miguel | 70 |