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 = -0.4 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | SAGAN Peter | 78 |
2 | NIBALI Vincenzo | 65 |
3 | KREUZIGER Roman | 65 |
4 | CAVENDISH Mark | 70 |
5 | FARRAR Tyler | 73 |
6 | HORNER Chris | 70 |
7 | CACCIA Diego | 70 |
8 | BOASSON HAGEN Edvald | 75 |
9 | HOOGERLAND Johnny | 65 |
10 | NOCENTINI Rinaldo | 60 |
12 | FREIRE Óscar | 63 |
13 | GREIPEL André | 80 |
14 | VAN HUMMEL Kenny | 64 |
15 | BOARO Manuele | 64 |
16 | SCARPONI Michele | 62 |
17 | PIRAZZI Stefano | 62 |