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 + 33
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | MCEWEN Robbie | 67 |
2 | DEGANO Enrico | 68 |
3 | EISEL Bernhard | 74 |
4 | CHAVANEL Sébastien | 77 |
8 | PINEAU Jérôme | 65 |
9 | CARDOSO Manuel Antonio Leal | 70 |
10 | MARTIAS Rony | 71 |
11 | DUIJN Huub | 73 |
13 | STEEGMANS Gert | 82 |
15 | FINOT Frédéric | 65 |
16 | SEROV Alexander | 77 |
17 | SOUSA Rui | 59 |
18 | MARQUE Alejandro Manuel | 68 |
19 | SABIDO Hugo | 70 |
22 | PETROV Danail Andonov | 63 |
25 | PATANCHON Fabien | 69 |