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 = 0.8 * weight - 40
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Țvetcov
3
69 kgGerganov
9
60 kgHristov
10
57 kgTamouridis
11
70 kgSzeghalmi
12
66 kgLovassy
37
71 kg
3
69 kgGerganov
9
60 kgHristov
10
57 kgTamouridis
11
70 kgSzeghalmi
12
66 kgLovassy
37
71 kg
Weight (KG) →
Result →
71
57
3
37
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ȚVETCOV Serghei | 69 |
| 9 | GERGANOV Evgeni | 60 |
| 10 | HRISTOV Stefan Koychev | 57 |
| 11 | TAMOURIDIS Ioannis | 70 |
| 12 | SZEGHALMI Balint | 66 |
| 37 | LOVASSY Krisztián | 71 |