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 - 18
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | VALVERDE Alejandro | 61 |
2 | DUNBAR Eddie | 57 |
3 | HOLLER Nikodemus | 58 |
4 | GESBERT Élie | 63 |
5 | URÁN Rigoberto | 63 |
6 | GALLOPIN Tony | 69 |
7 | SOSA Iván Ramiro | 52 |
8 | ARANBURU Alex | 63 |
9 | TAARAMÄE Rein | 73 |
10 | CHETOUT Loïc | 70 |
11 | TUREK Daniel | 72 |
12 | CARBONI Giovanni | 61 |
13 | DELAGE Mickaël | 70 |
14 | SIVAKOV Pavel | 70 |