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 = -0.1 * weight + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Gamito
1
66 kgNavas
2
78 kgMauri
3
68 kgCabello
7
72 kgLastras
10
68 kg
1
66 kgNavas
2
78 kgMauri
3
68 kgCabello
7
72 kgLastras
10
68 kg
Weight (KG) →
Result →
78
66
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GAMITO Vitor | 66 |
| 2 | NAVAS David | 78 |
| 3 | MAURI Melchor | 68 |
| 7 | CABELLO Francisco | 72 |
| 10 | LASTRAS Pablo | 68 |