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 = 31.4 * weight - 1129
This means that on average for every extra kilogram weight a rider loses 31.4 positions in the result.
Murguialday
10
58 kgDufaux
990
60 kgUgrumov
990
58 kgFignon
990
67 kgZülle
990
72 kgZarrabeitia
990
63 kgMejia
990
63 kg
10
58 kgDufaux
990
60 kgUgrumov
990
58 kgFignon
990
67 kgZülle
990
72 kgZarrabeitia
990
63 kgMejia
990
63 kg
Weight (KG) →
Result →
72
58
10
990
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | MURGUIALDAY Javier | 58 |
| 990 | DUFAUX Laurent | 60 |
| 990 | UGRUMOV Piotr | 58 |
| 990 | FIGNON Laurent | 67 |
| 990 | ZÜLLE Alex | 72 |
| 990 | ZARRABEITIA Mikel | 63 |
| 990 | MEJIA Alvaro | 63 |