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 + 42
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Barbosa
1
72 kgMarkov
2
80 kgPérez
3
70 kgGarrido
11
70 kgGarcía
12
80 kgPauwels
14
65 kgPetrov
22
63 kgPérez
23
76 kg
1
72 kgMarkov
2
80 kgPérez
3
70 kgGarrido
11
70 kgGarcía
12
80 kgPauwels
14
65 kgPetrov
22
63 kgPérez
23
76 kg
Weight (KG) →
Result →
80
63
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARBOSA Cândido | 72 |
| 2 | MARKOV Alexei | 80 |
| 3 | PÉREZ Aitor | 70 |
| 11 | GARRIDO Martin Gerardo | 70 |
| 12 | GARCÍA Francisco Tomás | 80 |
| 14 | PAUWELS Serge | 65 |
| 22 | PETROV Danail Andonov | 63 |
| 23 | PÉREZ Francisco | 76 |