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 + 31
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Sarkauskas
2
74 kgEdo
4
64 kgSmetanine
5
69 kgGuillamón
7
62 kgGamito
10
66 kg
2
74 kgEdo
4
64 kgSmetanine
5
69 kgGuillamón
7
62 kgGamito
10
66 kg
Weight (KG) →
Result →
74
62
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SARKAUSKAS Saulius | 74 |
| 4 | EDO Ángel | 64 |
| 5 | SMETANINE Serguei | 69 |
| 7 | GUILLAMÓN Juan Carlos | 62 |
| 10 | GAMITO Vitor | 66 |