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 = 0.3 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Megyerdi
2
65 kgMelikhov
4
76 kgNijdam
6
75 kgGazda
7
69 kgPetrov
9
76 kg
2
65 kgMelikhov
4
76 kgNijdam
6
75 kgGazda
7
69 kgPetrov
9
76 kg
Weight (KG) →
Result →
76
65
2
9
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MEGYERDI Antal | 65 |
| 4 | MELIKHOV Yury | 76 |
| 6 | NIJDAM Henk | 75 |
| 7 | GAZDA Stanislaw | 69 |
| 9 | PETROV Aleksei | 76 |