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.
Averin
1
69 kgKlasa
3
79 kgVasile
4
66 kgPikkuus
6
76 kgHannus
10
76 kg
1
69 kgKlasa
3
79 kgVasile
4
66 kgPikkuus
6
76 kgHannus
10
76 kg
Weight (KG) →
Result →
79
66
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AVERIN Alexandre | 69 |
| 3 | KLASA Michal | 79 |
| 4 | VASILE Teodor | 66 |
| 6 | PIKKUUS Aavo | 76 |
| 10 | HANNUS Harry | 76 |