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 - 16
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | PINEAU Jérôme | 65 |
2 | MALACARNE Davide | 63 |
3 | RAVARD Anthony | 62 |
4 | LELAY David | 67 |
5 | LE MÉVEL Christophe | 61 |
7 | JALABERT Nicolas | 68 |
9 | VAUGRENARD Benoît | 72 |
11 | HUSHOVD Thor | 83 |
12 | LEQUATRE Geoffroy | 64 |
13 | AUGÉ Stéphane | 65 |
15 | CHAMPION Dimitri | 70 |