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 + 23
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | VILLELLA Davide | 66 |
2 | MONTAGUTI Matteo | 65 |
3 | SICARD Romain | 63 |
4 | CONTADOR Alberto | 61 |
5 | HERRADA José | 65 |
6 | VALVERDE Alejandro | 61 |
7 | IZAGIRRE Gorka | 66 |
8 | FERRARI Fabricio | 64 |
9 | KWIATKOWSKI Michał | 68 |
10 | PERAUD Jean-Christophe | 62 |
11 | INTXAUSTI Beñat | 61 |