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 + 7
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | JEKER Fabian | 72 |
3 | RUMŠAS Raimondas | 64 |
5 | MERCADO Juan Miguel | 56 |
7 | PÉREZ Santiago | 61 |
8 | AMORIM Gonçalo | 67 |
9 | GAMITO Vitor | 66 |
10 | MØLLER Claus Michael | 70 |
11 | MAURI Melchor | 68 |
12 | PEREIRO Óscar | 67 |
14 | NAVAS David | 78 |
15 | SOUSA Rui | 59 |
16 | BARBOSA Cândido | 72 |
18 | HORRACH Joan Sebastian | 70 |
20 | AZEVEDO José Bento | 59 |
29 | JUFRÉ Josep | 65 |
30 | RODRIGUES Orlando Sergio | 68 |