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 = 0.7 * weight - 39
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Planckaert
2
69 kgSkibby
4
70 kgElliott
9
76 kgKonyshev
12
77 kgvan der Poel
14
70 kg
2
69 kgSkibby
4
70 kgElliott
9
76 kgKonyshev
12
77 kgvan der Poel
14
70 kg
Weight (KG) →
Result →
77
69
2
14
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PLANCKAERT Eddy | 69 |
| 4 | SKIBBY Jesper | 70 |
| 9 | ELLIOTT Malcolm | 76 |
| 12 | KONYSHEV Dmitry | 77 |
| 14 | VAN DER POEL Adrie | 70 |