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 - 25
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Țvetcov
4
69 kgTamouridis
9
70 kgGerganov
10
60 kgHristov
12
57 kgSzeghalmi
22
66 kgLovassy
35
71 kg
4
69 kgTamouridis
9
70 kgGerganov
10
60 kgHristov
12
57 kgSzeghalmi
22
66 kgLovassy
35
71 kg
Weight (KG) →
Result →
71
57
4
35
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | ȚVETCOV Serghei | 69 |
| 9 | TAMOURIDIS Ioannis | 70 |
| 10 | GERGANOV Evgeni | 60 |
| 12 | HRISTOV Stefan Koychev | 57 |
| 22 | SZEGHALMI Balint | 66 |
| 35 | LOVASSY Krisztián | 71 |