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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Kangert
1
65 kgJõeäär
2
84 kgTaaramäe
3
73 kgOjavee
4
80 kgPütsep
5
69 kgTombak
8
71 kgKodanipork
9
69 kgPruus
15
71 kg
1
65 kgJõeäär
2
84 kgTaaramäe
3
73 kgOjavee
4
80 kgPütsep
5
69 kgTombak
8
71 kgKodanipork
9
69 kgPruus
15
71 kg
Weight (KG) →
Result →
84
65
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KANGERT Tanel | 65 |
| 2 | JÕEÄÄR Gert | 84 |
| 3 | TAARAMÄE Rein | 73 |
| 4 | OJAVEE Mart | 80 |
| 5 | PÜTSEP Erki | 69 |
| 8 | TOMBAK Janek | 71 |
| 9 | KODANIPORK Raido | 69 |
| 15 | PRUUS Peeter | 71 |