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 = 0.2 * weight + 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Medina
2
65 kgSepulveda
6
66 kgArriagada
11
56 kgMay
17
73 kgGarrido
23
68 kgSilva
26
69 kgQuadri
33
67 kgOchoa
44
62 kg
2
65 kgSepulveda
6
66 kgArriagada
11
56 kgMay
17
73 kgGarrido
23
68 kgSilva
26
69 kgQuadri
33
67 kgOchoa
44
62 kg
Weight (KG) →
Result →
73
56
2
44
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MEDINA Jose Alfredo | 65 |
| 6 | SEPULVEDA Luis Fernando | 66 |
| 11 | ARRIAGADA Marcelo Ruben | 56 |
| 17 | MAY Márcio | 73 |
| 23 | GARRIDO Gonzalo | 68 |
| 26 | SILVA Cristobal | 69 |
| 33 | QUADRI Hernandes | 67 |
| 44 | OCHOA Carlos José | 62 |