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 = 39.2 * weight - 2609
This means that on average for every extra kilogram weight a rider loses 39.2 positions in the result.
Tonucci
1
68 kgKapitonov
2
73 kgTrapè
5
75 kgGazda
8
69 kgSchur
990
73 kg
1
68 kgKapitonov
2
73 kgTrapè
5
75 kgGazda
8
69 kgSchur
990
73 kg
Weight (KG) →
Result →
75
68
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TONUCCI Giuseppe | 68 |
| 2 | KAPITONOV Viktor | 73 |
| 5 | TRAPÈ Livio | 75 |
| 8 | GAZDA Stanislaw | 69 |
| 990 | SCHUR Gustav-Adolf | 73 |