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 = 0.2 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Smolík
1
73 kgGazda
3
69 kgKapitonov
4
73 kgJuszko
6
78 kgMoiceanu
8
72 kg
1
73 kgGazda
3
69 kgKapitonov
4
73 kgJuszko
6
78 kgMoiceanu
8
72 kg
Weight (KG) →
Result →
78
69
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SMOLÍK Jan | 73 |
| 3 | GAZDA Stanislaw | 69 |
| 4 | KAPITONOV Viktor | 73 |
| 6 | JUSZKO Janos | 78 |
| 8 | MOICEANU Gabriel | 72 |