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 = 0.3 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Beuchat
2
62 kgSevilla
4
62 kgBayarri
5
67 kgNozal
6
70 kgLobato
7
64 kgPalumbo
8
61 kgBernabéu
9
66 kgBeloki
10
68 kg
2
62 kgSevilla
4
62 kgBayarri
5
67 kgNozal
6
70 kgLobato
7
64 kgPalumbo
8
61 kgBernabéu
9
66 kgBeloki
10
68 kg
Weight (KG) →
Result →
70
61
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BEUCHAT Roger | 62 |
| 4 | SEVILLA Óscar | 62 |
| 5 | BAYARRI Gonzalo | 67 |
| 6 | NOZAL Isidro | 70 |
| 7 | LOBATO Rubén | 64 |
| 8 | PALUMBO Giuseppe | 61 |
| 9 | BERNABÉU David | 66 |
| 10 | BELOKI Joseba | 68 |