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 = 0.6 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Ugrumov
2
58 kgDufaux
6
60 kgFignon
8
67 kgZarrabeitia
10
63 kgZülle
14
72 kgMejia
26
63 kg
2
58 kgDufaux
6
60 kgFignon
8
67 kgZarrabeitia
10
63 kgZülle
14
72 kgMejia
26
63 kg
Weight (KG) →
Result →
72
58
2
26
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | UGRUMOV Piotr | 58 |
| 6 | DUFAUX Laurent | 60 |
| 8 | FIGNON Laurent | 67 |
| 10 | ZARRABEITIA Mikel | 63 |
| 14 | ZÜLLE Alex | 72 |
| 26 | MEJIA Alvaro | 63 |