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.
Aus
1
75 kgKirsipuu
2
80 kgTombak
3
71 kgLauk
4
77 kgKodanipork
5
69 kgAug
6
83 kgKukk
8
74 kgPütsep
10
69 kg
1
75 kgKirsipuu
2
80 kgTombak
3
71 kgLauk
4
77 kgKodanipork
5
69 kgAug
6
83 kgKukk
8
74 kgPütsep
10
69 kg
Weight (KG) →
Result →
83
69
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AUS Lauri | 75 |
| 2 | KIRSIPUU Jaan | 80 |
| 3 | TOMBAK Janek | 71 |
| 4 | LAUK Andres | 77 |
| 5 | KODANIPORK Raido | 69 |
| 6 | AUG Andrus | 83 |
| 8 | KUKK Sigvard | 74 |
| 10 | PÜTSEP Erki | 69 |