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 = -0.4 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Buts
1
68 kgBalkan
2
69 kgStević
4
66 kgKostyuk
5
66 kgHristov
9
57 kgKal
10
72 kgVasylyuk
14
65 kgBalkan
16
64 kg
1
68 kgBalkan
2
69 kgStević
4
66 kgKostyuk
5
66 kgHristov
9
57 kgKal
10
72 kgVasylyuk
14
65 kgBalkan
16
64 kg
Weight (KG) →
Result →
72
57
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BUTS Vitaliy | 68 |
| 2 | BALKAN Onur | 69 |
| 4 | STEVIĆ Ivan | 66 |
| 5 | KOSTYUK Denys | 66 |
| 9 | HRISTOV Stefan Koychev | 57 |
| 10 | KAL Miraç | 72 |
| 14 | VASYLYUK Andriy | 65 |
| 16 | BALKAN Serkan | 64 |