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 = -1.9 * weight + 147
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
Harasim
1
72 kgPopov
6
70 kgSzöllőssy
15
68 kgStolić
21
73 kgMiloshevski
40
57 kg
1
72 kgPopov
6
70 kgSzöllőssy
15
68 kgStolić
21
73 kgMiloshevski
40
57 kg
Weight (KG) →
Result →
73
57
1
40
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HARASIM Mihnea-Alexandru | 72 |
| 6 | POPOV Vasil | 70 |
| 15 | SZÖLLŐSSY Ádám | 68 |
| 21 | STOLIĆ Mihajlo | 73 |
| 40 | MILOSHEVSKI Aleksandar | 57 |